Name Index - Springer978-0-387-77956-0/1.pdf · Name Index Page numbers in italicsrefer to fig-ures. Abelmann, Walter H., 238 Abt, Clark C., 238 Adair, Douglass, 49, 50, 53, 60,

Name Index

Page numbers in italics refer to fig-ures.

Abelmann, Walter H., 238Abt, Clark C., 238Adair, Douglass, 49, 50, 53, 60, 61Adams, Miriam E., 320Ahern, Robert L. M., 16Ahlfors, Lars V., 203, 256Aiken, Howard H., 214, 257Airoldi, Edoardo M., 66Alchian, Armen, 198Alexander, Sidney, 256Alger, Horatio, 125Allendoerfer, Carl B., 280Allison, Graham, 294Allport, Gordon, 97, 191, 192, 199Ambach, Gordon M., 96, 109Anderson, Annelise G., 66Anderson, Sharon, 239Anscombe, Francis J., 60Antczak-Boukoms, Alexia, 300, 318,

320Armor, David J., 99–100, 109Arrow, Kenneth, 40, 43, 302Auquier, Ariane, 239

Babior, Bernard M., 87Bachelder, Joseph N., 16Baggenstoss, Archie H., 87Bahadur, Raghu Raj, 51Bailar, John C., III, vii, 226, 266,

269, 279, 281, 290, 305, 306,318

Bailyn, Lotte Lazarsfeld, 41Baiman, Ron, 17Bales, R. Freed, 32, 192, 194–196,

198, 199Barankin, Edward W., 253Barnes, Benjamin A., 110, 218, 231,

238, 239, 297, 318

Barr, Judith, 320Barsamian, Ernest M., 238, 239Baruch, Bernard, 20Bateson, Gregory, 32, 193Bauer, Raymond, 196Baum, Leonard E., 199Baxter, James Phinney, 3rd, 15Bay, John S., 45Beaton, Albert E., 54, 89, 109Becker, Edmund R., 296Becker, Gary, 205, 285Beebe, Gilbert W., 87Beecher, Henry K., 20, 33, 44, 72,

75, 76, 88, 217–219, 239, 240,300, 303

Beecroft, Ruth K., 87Beggs, Jane E., 40Belden, Joe, 16Bellville, J. Weldon, 87Bendixen, Henrik H., 218, 230Bennett, Carl A., 224, 239Bennett, William, 104Berengut, David, 238Berger, Judith Slepian, 198Berkey, Catherine S., 311, 318Bernstein, Adam, 110Beshers, James M., 109Billingsley, Patrick 314Binderup, Katherine, 232Birkhoff, Garrett, 203, 208, 209,

214, 256Birkhoff, George, 272Bishop, Yvonne M. M., 78–79, 87,

88, 211, 213, 290Blackstone, Harry, 161Bland, James R., 252, 269Blendon, Robert, 296Blumenfeld, Charles W., 87Blumenthal, David, 299, 303, 304Bochner, Salomon, 152Boes, Lisa, 313, 319

323

324 Name Index

Boisen, Morton, 240Bok, Derek C., 205, 214, 294, 308Bokalders, Kira, viiiBollini, Paola, 320Borgatta, Edward F., 240Boruch, Robert F., 110, 226, 239,

313, 320Bowers, Henry, 281Box, George E. P., 101, 110Brady, Henry E., 17Braun, Peter, 296Brazier, Mary A. B., 44Brewer, Carl R., 87Brewer, Timothy F., 311, 318Brown, Byron W., 78, 87, 88Brown, George W., 150, 166, 257Brown, Michael L., 212Brownlee, K. A., 51Brumbaugh, Martin A., 253Bruner, Jerome, 192, 199Brunswick, Egon, 43Brush, F. S., 43Bryk, Anthony S., 239Buck, Paul, 8, 204Bundy, McGeorge, 206–209Bunker, John P., 72, 78, 83, 87, 88,

110, 217, 228, 229, 238, 239,318

Burdick, Elisabeth, 287, 318, 319,320

Burke, Cletus J., 40, 41Burr, Aaron, 48Burroughs, Edgar Rice, 125Bush, George W., 15Bush, Robert R., 31–42, 43, 44, 199Buss, William G., 109Butler, Samuel, 180Byse, Clark, 109

Cairns, Stewart, 167Campbell, Ernest Q., 89, 90, 110Campbell, Robert, 109Cannan, R. Keith, 87

Cantril, Hadley, 6, 47, 50, 66, 147,148–150, 156, 166

Carlson, Roger, 281Carmichael, Franklin, 280Carmichael, Leonard, 40Carnegie, Andrew, 133Carrier, George F., 214Carter, Launor, 150, 201Carver, David, 199Carver, George W., 127Casella, George, 282Cavour, Camillo, 127Chall, Jeanne, 109Chalmers, Thomas C., 299–300, 307Chayes, Abram J., 109Chayes, Antonia, 109Child, Charles G., III, 87, 231Child, Irvin L., 45Chmiel, Joan S., 238Clark, Dean A., 214Clausen, John A., 181Clifford, Paul, 253, 259, 264Clinton, William J., 108Clopper, C. J., 167, 181Cobb, George W., 282Cochran, William G., 20, 26, 29,

31, 109, 146, 166, 187, 209,210, 211, 219, 235, 239, 289

Cohen, David K., 99, 100Cohen, Ellis N., 74, 87Cohn, Victor, 298, 303Colditz, Graham A., vii, viii, 305,

309, 311, 318, 319, 320Cole, Taylor, 214Coleman, James S., 89–91, 94, 97,

99, 109, 110Conant, James B., 5, 192, 205Conrad, Frederick G., 28, 29Conroy, Vincent F., 109Coolidge, Calvin, 117Coombs, Clyde H., 33, 193Corner, George, 20, 21Corson, John J., 16Cottrell, Leonard S., Jr., 181

Name Index 325

Courant, Richard, 139Cox, Gertrude M., 186, 187Craig, Allen T., 146Craig, Cecil, 146Crespi, Irving, 14, 17Crum, William Leonard, 203Culbertson, Dorothy, 261Culbertson, Ely, 183Cumming, Elaine, 199Curtiss, John, 173Cyert, Richard 144

Dangle, Hiram, 121, 128Daniere, Andre, 109David, Herbert T., 51, 164, 181Davidson, Charles S., 87Davis, Miles, 54Davis, S., 239Dawson, Reed, Jr., 199de Finetti, Bruno, 52DeGroot, Morris, 51DeLury, Daniel, 146Deming, W. Edwards, 254Dempster, Arthur P., 209, 210DeNicola, Margaret, 296DeVinney, Leland C., 173Dewey, Thomas E., 5Diaconis, Persi, 42, 160, 161, 239Dinerman, Helen, 16Dixon, Wilfrid J., 9, 150, 166, 211Dodd, Stuart C., 16Dodge, David, 17Dodge, Harold F., 253Dolph, Charles, 147Donner, Alan P., 239Doob, Joseph L., 88Doob, Leonard W., 9, 17Doop, Kathy, 17Douglas, Edwin C., 275, 280Douglass, Chester, 295Dozier, William E., 87Drolette, Margaret, 211, 290Dubin, I. Nathan, 87Duncan, David B., 188

Dunegan, Jean, 238Dunn, Daniel L., 296Dunninger, Joseph, 160Durch, Jane S., 297, 299, 303, 304Duren, Peter, 199Durkheim, Emile, 281Dwyer, Paul, 166Dyer, Henry S., 109Dysart, Paul, 127–128, 129, 136

Edwards, Ward D., 52, 198, 202Efron, Bradley, 87Einhorn, Marvin, 261, 262Eisenhart, Churchill, 251Eisenhart, Luther P., 250–252, 269Elashoff, Janet Dixon, 211Elashoff, Robert M., 211, 213Elinson, Jack, 226, 239Elliot, Bruce, 159Emerson, John D., vii, viii, 305,

313, 319Entwisle, Doris, 33, 38, 41Epstein, Jason, 109Epstein, Shelley, 299Erdnase, S. W., 161, 162Estes, William K., 35, 37, 40, 41Ettling, Mary B., 232, 238Evev, Ido, 44

Fair, Jerilyn, 269Fairley, William B., 213, 269Falotico-Taylor, Jennifer, 232, 241,

320Fantini, Mario, 109Fehr, Howard F., 280Feldman, Penny H., 295, 304Fellows, Judith, 109Feynman, Richard, 147Fielding, Henry, 134Fienberg, Stephen E., vii, ix, 17,

66, 79, 88, 213, 274, 281, 290,317

Fineberg, Harvey V., 295, 311, 318Fink, Kenneth, 16

326 Name Index

Finkelstein, Michael O., 269Finnegan, Richard J., 16Fisher, Ronald A., 51, 62, 66, 165,

169, 181, 186–188, 219, 256Fitzpatrick, Garry F., 238Flood, Ann B., 88Flood, Merrill, 166, 183, 184Forrest, William H., Jr., 72, 77, 83,

87, 88Fowler, Floyd J., Jr., 238Fowler, Henry W., 174Fox, Maurice S., 238Francis, Ivor S., 61, 66Francis, Thomas, Jr., 240Frazier, Howard S., 228, 297, 310,

319Freeman, Harold A., 181Freud, Sigmund, 124Frickey, Edwin, 203Friedman, Milton, 173–174, 181

Gaffin, Ben H., 16Gagnon, John H., 28, 29Galanter, Eugene, 42Gall, Edward A., 87Gallup, George H., 6, 11Garfinkel, Harold, 199Gasko-Green, Miriam, 238Gastwirth, Joseph L., 269Gebhard, Paul H., 29Gell, Cyrille, 226, 239Gentleman, W. Morven, 80, 87Gerson, Jean Charlier de, 47Gibson, Walter, 159Gilbert, John P., 51, 77–78, 87, 88,

109, 213, 220, 224–228, 231–234, 238, 240, 241, 300, 303

Gilroy, Alfred, 155Gilroy, Mary, 155Gilroy, Virginia, 138, 139, 140, 143,

146, 149, 153. See also Mosteller,Virginia (wife of FM)

Girshick, M. A., 165, 179, 181, 188Gittelsohn, Alan M., 230, 238, 240

Gleason, Andrew M., 207, 256Glickman, Mark E., viiiGlimp, Fred L., 109Gluck, Michael E., 303Glunz, Paul R., 87Godel, Kurt, 151–152, 156Goldish, Sidney, 16Goldman, Cliff, 109Goldstein, S., 214Goodman, Leo, 7, 314Goodnow, Robert E., 44, 217Gordon, Edmund W., 109Goren, Charles, 184Gosset, William S., 249–250, 269Graham, John D., 300, 303, 304Graustein, William C., 272Green, Jerry R., 238Greene, Penelope J., 299, 303Greenhouse, Joel B., 88Greenland, Sander, 88Gregg, Alan, 202Gross, Neal, 109Gurland, John, 8Guttman, Louis, 181, 193Guyer, Bernard, 300

Haberman, Shelby J., 88, 314Halbower, Charles C., 109Halpern, Jerry, 78, 87Hamburg, David, 229, 297Hamilton, Alexander, 47, 48–50, 54–

59, 66Hanfmann, Eugenia, 192Hansen, Morris H., 5Hanushek, Eric A., 99, 109Harberger, Arnold C., 241Harris, Deborah, 294Harris, Katherine Safford, 40Harris, Seymour, 209Harshbarger, Elizabeth, 96, 109Hastings, Cecil, Jr., 167, 179–180,

181, 186, 188Hatziandreu, Evi, 303Hauck, Walter W., 239

Name Index 327

Hauser, Phillip M., 15Haveman, Robert H., 241Hays, David G., 41, 44, 199Hedley-Whyte, John, vii, 217, 229,

238, 305, 310Heit, Evan, 44Hellman, Louis P., 87Helmer, Olaf, 167Hemenway, David, 300Hemphill, Fay M., 240Herring, Pendleton, 6Herzog, John D., 109Hiatt, Howard H., vii, 228, 237,

266, 289, 293, 295, 305, 311,312

Highton, Benjamin, 17Hilbert, David, 139Hildebrandt, Martha, 280Hilgard, Ernest R., 214Hill, Richard W., 212Hill, William, 193Hixson, Eugene, 109Hoaglin, David C., vii, viii, ix, 239,

279, 281, 306, 310, 317, 318Hobson, Carol J., 89, 110Hoerl, Roger, 282Holland, Paul W., 79, 88Holmes, David I., 66Homans, George, 192, 199Hooper, Valwyn S., 299, 303Horowitz, Israel Albert, 142Horwitz, Wendy, 299, 303Hotelling, Harold, 146Houdini, Harry, 161Hovland, Carl I., 15Howe, Harold, 90, 97, 109Howells, William W., 62, 66Hsiao, William C., 295, 296Hsu, Pao Lu, 165, 181Humphreys, Lloyd G., 44Hunt, Herold C., 109Hurwitz, William N., 5Hyman, Herbert, 9, 10, 15, 17

Ingelfinger, Franz, 290Ingelfinger, Joseph A., 266, 269,

290, 291Ishak, Beatrice W., 87Ishak, Kamal K., 87Iversen, Gudmund, 213

Jackson, A. Y., 280Janis, Irving L., 181Jay, John, 48, 58, 66Jeffrey, Charles, 155, 167Jeffrey, Mary Lou, 155Jeffreys, Harold, 52, 67Jencks, Christopher S., 99, 109Jenkins, William O., 24, 29, 43John, W. F., 43Johnson, Donovan A., 275Johnston, Frank, 280Jones, Wyatt C., 240Jordan, Brigitte, 28, 29

Kachroo, Pushkin, 45Kadane, Joseph B., 67, 144Kain, John F., 99, 109Kaizar, Eloise E., 88Kane, Nancy, 302Kapadia, Asha Seth, 211Kardiner, Abraham, 32Kardos, Judit, 66Karlin, Samuel, 88Kashdan, Isaac, 142Kass, Robert E., 67Katz, Leo, 249, 269Keats, Arthur S., 217, 218, 239Kelleher, Kelly, 88Kelley, John L., 260, 263Kelley, Truman, 185, 203Kells, Lyman M., 252, 269Kelman, Howard R., 240Kemble, Edwin C., 214Kempis, Thomas a, 47Kennedy, Edward M., 299Kennedy, Robert F., 90Kenton, Charlotte, 232

328 Name Index

Keppel, Francis, 89, 90Kern, Willis F., 252, 269Kerry, John F., 15Kershaw, David, 269Ketcham, Thomas R., 296Key, Sydney J., 109Key, V. O., Jr., 15Kimmel, John, viiiKinderup, Katherine, 232Kinsey, Alfred C., 19, 20, 21, 23,

27, 29Kipling, Rudyard, 74Klassen, Albert D., 28, 29Klatskin, Gerald, 87Klawansky, Sidney, viii, 318, 320Kleinman, Joel, 239Kling, Frederick R., 109Kluckhohn, Clyde, 192, 199Kluckhohn, Florence, 192Kolata, Gina, 29Korns, Robert F., 240Kozelka, Robert, 199Kraeling, Doris, 44Kroeger, Henry J., 16Kruskal, William H., ix, 25, 29, 51,

277, 280, 281, 282, 314

Laird, Nan M., 238, 290, 315Lamberti, John J., 238Landon, Alfred M., 5Lane, Frederick C., 238Lasagna, Louis, 217, 219, 239, 240Laster, Leonard, 87Laumann, Edward O., 29Lax, David, 213Lazarsfeld, Paul F., 6, 33, 181, 193Leech, Nina, 294Leeson, John, 109Lefschetz, Solomon, 153Lehmann, Erich L., 277, 282Lehrer, Thomas, 214Leone, Richard, 109Leontief, Wassily, 208, 214Lesser, Gerald S., 109

Levin, Bruce, 269Levin, David, 59Levitt, Eugene E., 28, 29Lew, Robert, 238Light, Richard J., 79, 88, 220, 224–

228, 240, 281, 300, 303, 320Likert, Rensis, 6Lincoln, Abraham, 69, 73, 198Lindley, Dennis V., 51Lindman, Harold, 198, 202Lindzey, Gardner, 42, 192, 196Link, Richard F., 17, 280, 281, 282Lipset, Seymour M., 109Lismer, Arthur, 280Lodge, Henry Cabot, 49Longman, W. M., 16Loomis, Lynn, 209, 256Louis, Karen S., 303Louis, Thomas A., 290Lubin, Isador, 15, 20, 21Luce, R. Duncan, 42, 196Lumsdaine, Arthur A., 181, 224,

239Lumsdaine, Marian H., 181Lutz, Robert G., 16Lynn, Laurence E., Jr., 241

Maccoby, Eleanor, 192, 200, 201MacDonald, J. E. H., 280Mackenzie, Lionel, 147Mackey, George, 256MacInnes, Gordon, 109MacLane, Saunders, 203, 256MacMahon, Brian, 291MacRae, Duncan, Jr., 7, 9, 13, 17Madansky, Albert, 51Madison, James, 47, 48–50, 54–59,

66Madow, William G., 5Makintosh, William A., 214Manning, Willard G., Jr., 238Marinero, Ximena, viiiMarks, Eli S., 9, 13, 15, 17Marsh, Brandon, 16

Name Index 329

Marshall, Frank, 141Martin, Clyde E., 19, 27, 29McCarthy, Philip J., 9, 13, 15, 17,

150, 166McDermott, William V., Jr., 238McGill, William, 40McKean, Ronald, 109McNeil, Barbara J., 238McPartland, James, 89, 109, 110McPeek, Bucknam, 218, 226, 228,

231–234, 238, 240, 241, 281,300, 303

McPeek, Cornelia, 240McPhee, William N., 16McPherson, Klim, 238McPherson, Marie A., 287, 318Mead, Leonard C., 40Mead, Margaret, 32, 193, 214Meder, Albert E., Jr., 274, 280Meehl, Paul E., 63, 67Mehran, Farhad, 213Meier, Norman C., 16Meier, Paul, 51, 240, 314Meister, Morris, 280Menzel, Donald H., 214Merton, Robert K., 214Meyer, Henry J., 240Miao, Lillian L., 238, 241Michael, Robert T., 29Michaels, Stuart, 29Michelman, Frank I., 109Middleton, David, 203Miech, Edward J., 313, 320, 321Milamed, Debra R., vii, 310Mill, John Stuart, 135Miller, George A., 40, 41, 49, 67Miller, James N., 309, 319, 320Miller, Neal E., 44, 298, 303, 304Miller, Norman, 281Millman, Edward, 277Minnick, Robert C., 208Mizuki, Mikiso, 165, 181Moeller, Dade, 295Moffitt, William E., 214

Monro, John U., 109, 256Mood, Alexander M., 89, 90, 97,

109, 110, 150, 165, 166, 181Moore, Carroll S., Jr., 16Moore, Donald R., 109Moore, Geoffrey H., 164, 182Morgan, Alfred P., Jr., 238Morgenstern, Oskar, 169, 182, 196,

202Morris, Carl N., 311Morrison, Philip, 138Morse, Marston, 272Morton, Anton S., 109Moses, Lincoln E., 78, 84, 87, 88,

110, 142, 285, 288, 290Mosher, Frederic A., 109Moskowitz, Professor, 145Mosteller, Gale R. (daughter of FM),

viii, 52, 59, 60, 66, 83, 161,202, 204, 206, 211, 212, 283–287, 313

Mosteller, Helen Kelley (mother ofFM), 113–132, 134, 135, 138,147, 155

Mosteller, Virginia (wife of FM), 8,52, 55, 59, 60, 154, 155, 166,167, 180, 183, 186, 191, 204,206, 211, 232, 256, 283, 285,305, 308, 309. See also Gilroy,Virginia

Mosteller, William Roy (father ofFM), 113–119, 129–132

Mosteller, William S. (son of FM),viii, 8, 35, 79, 194, 202, 206,211, 283–285, 288, 313

Mowrer, Hobart, 192Moynihan, Daniel P., 96–98, 102,

109, 110, 228Muench, Hugo, 203Murdock, George P., 214Murphy, Frederick H., 277Murray, Henry, 192, 199

Nadler, Jack, 51

330 Name Index

Napier, John A., 240Naus, Joseph, 213Nave, Bill, 313, 320, 321Nesson, Charles R., 109Neuhauser, Duncan, 238Neutra, Raymond R., 235, 238, 241Newhouse, Joseph P., 269Newman, Edwin, 209Neyman, Jerzy, 51, 60, 80Ngai, Shih-hsun, 87Niskanen, William A., 241Nixon, Richard M., 220–222Noether, Gottfried, 262Nogee, Philip, 196–198, 202Nolan, Deborah, 282Northrop, Eugene P., 280Nulsen, Robert, 147

Oakes, David, 239Oakford, Robert V., 285, 288Oberg, Edwin N., 167O’Connor, Nicholas E., 239Olds, Edwin G., 51, 136–138, 146,

163, 243, 253Olivo, Jaylyn, 294Olmstead, Paul, 164, 253Olson, Marjorie, viii, 287, 310Oppenheimer, J. Robert, 32Orcutt, Guy H., 208, 209, 214Ortiz, Darwin, 162Orza, Michele, 320Osgood, William, 272

Papandreou, Andreas G., 256Parker, Charles E., 16Parsons, Talcott, 191–192, 199, 203Patterson, Bryan, 62Patterson, Rev. John, 275Peach, Paul, 253Peacock, Thomas, 16Pearl, Judea, 88Pearson, Egon S., 51, 167, 181, 256Pearson, Karl, 219, 250, 256Peck, Roxy, 282

Pemantle, Robin, 44Peterson, Osler L., 239Petkau, John, 238Pettigrew, Thomas F., 96–99, 100,

109, 228Pieters, Richard S., 273, 275, 280,

281, 282Pilsudski, Jozef, 127Pliskin, Joseph S., 238Pliskin, Nava, 238Pomeroy, Wardell B., 19, 27, 28, 29Popper, Hans, 87Pratt, John W., 209, 210Press, Frank, 283Price, Don K., 267Price, H. Douglas, 109Proxmire, William, 41

Raiffa, Howard, 109, 209, 210, 267Raker, John, 238, 297Ranucci, Ernest R., 280Rao, C. R., 87Redheffer, Raymond, 203Reed, Robert, 289, 290Rees, Albert, 269Rees, Mina, 180, 256Reid, Walter, 129, 140, 141Relman, Arnold S., 266, 279, 290Reshevsky, Samuel, 141Restle, Frank, 39, 41Richmond, Donald E., 275Riecken, Henry W., 196Riley, Robert T., 99, 100, 109Rinaldo, Alessandro, 88Rising, Gerald R., 280, 281, 282Roberts, Harry, 51Roberts, John, 192, 199Roberts, Mark S., 320Robins, James M., 88Rogers, Mark, 238Romig, Harry G., 253Romney, A. Kimball, 23Roosevelt, Franklin D., 5, 13, 150Roper, Elmo, 9, 12

Name Index 331

Rosenblatt, Murray, 51Rosenoer, Victor M., 239Rosenthal, Kristine M., 109Rosenthal, Robert A., 109Rosovsky, Henry, 204, 309Ross, Paul F., 109Rossi, Peter, 192Roth, Alvin E., 44Rotnitzky, Andrea, 88Rourke, Robert E. K., 259, 269,

271–274, 275, 276, 280, 281Rowe, Richard, 109Roy, S. N., 165, 181Rubin, Donald B., 308Rudman, Joseph, 67Rulon, Phillip, 188Runyon, Damon, 58, 67Rutherford, James, 106

Sachs, Jason A., 320Sacks, Albert M., 109Sadove, Max S., 88Santowasso, Virginia, 186Sapienza, Alice, 302Savage, Leonard J., 39, 51, 52, 161,

167–171, 173–175, 178, 180, 181,187, 188, 198, 202, 254–255

Scharfstein, Daniel O., 88Scheffe, Henry, 150, 253Schober, Michael F., 28, 29Schultz, George, 221Schwartz, Robert B., 96, 109Schweiger, Irving, 51Scott, Elizabeth, 80Scott, W. Richard, 88Sears, Robert, 192Seeley, David S., 109Seeley, Sam F., 72, 87Seltman, Howard, 88Sestrich, Heidi, viiiShakespeare, William, 126Sharp, Stephen, 321Sheedy, Caroline, viiiShelton, Florence, 109

Shepard, Donald, 238, 298Shewhart, Walter A., 164, 253Shields, Margaret, 153Siegel, Joanna E., 304Silberman, Charles E., 109Simon, William, 28, 29Singer, Judith D., 316Singer, Richard, 238Sisler, George, 212Sizer, Nancy, 109Sizer, Theodore R., 109Skinner, B. F., 273Skinner, Kiron K., 66Skyrms, Brian, 44Smetana, Hans F., 87Smith, Gene M., 109Smith, Marshall S., 96, 100, 101,

109Smith, M. Brewster, 181Smithies, Arthur, 209Snow, C. P., 199, 202Snyder, P. L., 16Sobel, Helen, 184Solomon, Robert J., 109, 199Soper, Keith, 238Stanton, Frank, 15Star, Shirley A., 181Starbuck, Robert, 282Stefanich, Frank, 109Stephan, Frederick F., 9, 10, 15, 17,

188Stern, Hal, 282Sternberg, Saul, 44Stevens, S. S., 33Stewart, Martha, ixStewart, Rose, 126–127, 129Stigler, Stephen M., 317St. John, Nancy H., 109Stodolsky, Susan S., 109Stone, Marshall, 272Stoto, Michael A., viii, 238, 281,

297, 303, 304Stouffer, Samuel A., 5–9, 13, 15,

17, 33, 148, 150, 166, 181, 186,

332 Name Index

191, 192, 199, 200, 203, 204,256

Strenio, Judith F., 238Strunk, William, 174Student. See Gossett, William S.Suchman, Edward A., 181Suchman, Lucy, 28, 29Sudman, Seymour, 28Sutton, Francis, 200Swedenborg, Emanuel, 125

Tagiuri, Renato, 44, 196Talbot, Nathan B., 109Tanur, Judith M., vii, ix, 276, 282,

317Tatsuoka, Maurice, 41, 42, 44Taylor, Amy K., 238Taylor, Frank, 157, 159Terhune, Albert Payson, 125Tesler, Lawrence G., 78, 87Thibodeau, Lawrence A., 266, 269,

290, 291Thomas, Dorothy Swain, 214Thomas, George B., Jr., 256, 259,

269, 271, 275, 280, 281Thomas, Harold A., Jr., 203, 208,

214Thompson, Gerald L., 39, 44Thomson, Tom, 280Thorpe, Kenneth, 295Thurston, Howard, 161Thurston, Sally, ixTiedeman, David, 203Tierney, Luke, 67Todd, Donald P., 75, 76, 88, 218,

239Tolchinsky, Eva, 240Tompkins, Tommy, 153Traugott, Michael W., 17Trescott, Paul, 16Truman, David B., 9, 15, 17Truman, Harry S, 5, 9, 13Tucker, Albert W., 153, 166, 252,

254, 271, 272, 280

Tucker, Marc S., 109Tuckerman, Bryant, 147Tukey, John W., 20, 26, 29, 80, 87,

109, 147, 166, 180, 181, 185–189, 220, 254–255, 279, 281,302, 308

Tulloch, J. F. Camilla, 318Tyler, Ralph W., 78, 109

Unsal, Cem, 45

Vandaele, Walter A., 239Vandam, Leroy D., 83, 87, 88van der Byl, Willem, 51van der Waerden, Bartel L., 152Van Engen, Henry, 280Van Vleck, John H., 208, 209, 214Varley, Frederick, 280Veverka, Mr., 127Villovasso, Ernest, 150, 155Voight, Robert B., 240von Bortkiewicz, Ladislaus, 164, 182von Felsinger, John M., 219, 240von Mises, Richard, 203von Neumann, John, 169, 182, 196,

202, 254

Wachter, Kenneth W., 238Wainer, Heather, viiiWald, Abraham, 169, 182Walker, Peter, 238Wallace, Anna Mary, 55Wallace, David L., viii, ix, 48, 51,

52, 54, 55, 67, 283, 298, 314Wallace, Vernon E., 88Wallis, W. Allen, 10, 24, 51, 164–

165, 167, 173, 175, 178–179,181, 182, 205, 220, 221, 222

Walsh, Joseph, 256Walsh, Karin, 16Ware, James H., vii, 266, 269, 290,

291, 305, 311Waternaux, Christine, 290Watts, Harold W., 269Weaver, Warren, 171, 172, 256

Name Index 333

Weinfeld, Frederic D., 89, 109, 110Weinstein, Milton C., 290Weinstock, Solomon, 41Weisberg, Herbert I., 239Weizenbaum, Joseph, 41Wennberg, John E., 230, 236–237,

238, 240Werman, Ruth, 291, 294White, E. B., 174White, Robert, 192, 209White, Sheldon H., 109Whitehead, Alfred North, 61Whiting, John W. M., 43, 44, 45Whitla, Dean K., 109Whittenberger, James, 291Wichura, Michael, 314Wiley, David, 225Wilks, Samuel S., 7–9, 15, 17, 20,

21, 51, 52, 90, 146, 147, 150,153, 156, 163–164, 166, 167,173, 184–186, 251, 252, 253–254, 275, 280

Williams, Alan, 241Williams, C. B., 47, 67Williams, Colin J., 29Williams, Frederick, 47, 49, 50, 157Williams, John D., 9, 29, 166–172,

175Williams, Robin M., Jr., 181Wilson, Edwin B., 289, 291Wilson, Elmo, 16Wilson, Mary E., 311, 318Wilson, Thurlow R., 41, 44Winokur, Herbert S., Jr., 220, 224,

240Winsor, Charles P., 166, 180, 181,

186, 188Winsten, Jay A., 297, 298, 304Wise, David A., 238, 303Wolfowitz, Jacob, 165, 182, 187Worcester, Jane, 238, 289, 290Working, Holbrook, 253Wyshak, Grace, 320

Yin, Robert K., 225, 241York, Robert L., 89, 110Young, Donald, 7Youtz, Cleo S., vii, viii, 41, 53, 54,

102, 249, 287, 310, 313, 319Yule, G. Udny, 47, 67

Zeaman, David, 40Zeckhauser, Richard, 227, 241, 302Zelen, Marvin, 290–291, 293Zelinka, Martha, 281Zuckerman, Harriet, 312

Subject Index

AAAS (American Association forthe Advancement of Science),105, 107

AAPOR (American Association forPublic Opinion Research), 7

academic achievement, 91, 94racial integration and, 96

acceptance sampling, 173adjusted death rates, 82, 84after-the-fact knowledge, 10American Anthropological Associ-

ation, 15American Association for Public

Opinion Research, 7American Association for the Ad-

vancement of Science, 105, 107American Economic Association, 15American Historical Association, 15American Political Science Associ-

ation, 15American Psychological Association,

15American Sociological Society, 15American Statistical Association,

9, 11, 15, 254, 278, 316Joint Committee on the Cur-

riculum in Statistics andProbability, 275, 277, 278,280

Commission on Statistical Stan-dards, 20

anesthesiologists, 217–218anesthetic safety, 69–86animal experiments, conditioning/

reinforcement in, 35Annals of Mathematical Statistics,

146, 153, 156Applied Mathematics Panel of the

National Defense Research Com-mittee, 172, 180

Assessing Medical Technologies (Com-mittee for Evaluating MedicalTechnologies in Clinical Use),309

association theory, 37atomic bomb research, 31–32attention in learning, 42attitude surveys, 6The Authoress of the Odyssey (But-

ler), 180authorship, 47–64

background variables, student, 95“bag of words,” 64Bayesian inference, 47–64, 187BCG vaccine, 311Bell Telephone Laboratories, 20, 80bias

in estimation 175–177, 223publication, 195racial, 99

bilingual programs, 102–103binomial probability paper, 186–

187Biometrika, 47, 153Biostatistics in Clinical Medicine

(Ingelfinger et al.), 266, 290black schools, 100blond-brunette problem, 41bombing, 168–172Book Test trick, 160Boston Globe Poll of Massachusetts

Opinion, 16bridge playing, 137, 166, 183–184Brown v. Board of Education of

Topeka, 89, 91The Bulletin Poll, 16Bureau of Applied Social Research,

at Columbia University, 6Bureau of the Census, 5, 6Buridan’s ass situation, 41

335

336 Subject Index

Butler, Pennsylvania, 139

The California Poll, 16Canadian Seven, 272Cape Cod, 283–287capital development, for schools,

106Carnegie Corporation, 96Carnegie Institute of Technology,

127, 132, 133–142, 145–146, 163,243, 250–253

Carnegie Mellon University, viii, 133case mix, 83cases, use in teaching, 294Case Study Research: Design and

Methods (Yin), 225causal effects, 86cause and effect, 115Center for Advanced Study in the

Behavioral Sciences, 59, 77–78change, effect of, 101chess club, 128–129, 140–142choice probabilities, 36Civil Rights Act of 1964, 89Clarksburg, West Virginia, 113classification procedures, 56class size, 95, 312clinical prediction, 63cluster sampling, 27clusters of events, 214coin flip/T-maze example, 39Coleman Report, 89–108, 220, 228Colorado Poll, 16Columbia University, 42, 141

Bureau of Applied Social Re-search at, 6

combining classes criterion, 39, 40Commission on Mathematics of the

College Entrance ExaminationBoard, 258, 271, 272, 273, 274,275, 280

Commission on Statistical Standardsof the American Statistical As-sociation, 20

Committee for Evaluating MedicalTechnologies in Clinical Use,309

Committee for Research in Prob-lems of Sex, 20

Committee on Analysis of Pre-electionPolls and Forecasts, 7, 15

Committee on Anesthesia of theDivision of Medical Sciences,71

Committee on Measurement of Opin-ion, Attitudes and ConsumerWants, 6

Committee on the Curriculum inStatistics and Probability, JointASA-NCTM, 275, 277, 278, 280

Committee on the MathematicalTraining of Social Scientists,42

concordance program, 54conditioning, 35, 37confounders, 86Consistency of the Continuum Hy-

pothesis (Godel), 151–152Constitution, U. S., 48contextual words, 53, 55Continental Classroom, 126, 243,

258–264, 274, 316, 318contingency tables, 78, 79, 149, 211,

213continuous models, 37conversational interviewing, 25, 28cost-benefit analysis, 236cost containment, 84Costs, Risks, and Benefits of Surgery

(Bunker, Barnes, Mosteller), 218,229, 232, 235–236, 306, 309

creaming, 103creativity, 185credibility of scientists, 298cross-classification, 78Crossley Poll, 5, 9, 12–14culture of poverty, 97culverts, 129–132

Subject Index 337

curbstoning, 11

Data for Decisions (Hoaglin et al.),279

data mining, 64data sharing, 96death rates, with anesthetics, 80–

85debating team, Mosteller on, 123–

124decision theory, 52degree of belief, 58De Imitatione Christi (Kempis), 47Delaware, Ohio, 123, 126, 157deliberate speed, 91Department of the Clouded Crys-

tal Ball, 33desegregation, of schools, 102Diagnosis-Related Groups, 236discrete models, 35, 37Discrete Multivariate Analysis:

Theory and Practice (Bishopet al.), 79

discriminant function, 50, 62discrimination problems, 60, 61–64distribution of runs, 163–166doctorate completion, 183–188doubly biased sample, 12dynamic model, 34

education, 89–108education, long-term goals for, 104educational innovations, 106educational performance, 91educational research, 103Educational Testing Service, 89, 220EEOR (Equality of Educational Op-

portunity), 89–108election forecasting, 5–17Election Poll of Washington Public

Opinion Laboratory, 16electoral votes, 11Elements of Style (Strunk, White),

174

endpoint, choice of, 235engineering drawing class, at Carne-

gie Institute of Technology, 133Equality of Educational Opportu-

nity (Coleman et al.), 89–108errors, non-sampling, 6errors of forecasting, 12errors of sampling and interview-

ing, 12ESP experiments, 194–195evaluation, 217–237, 313evidence-based decision making, 108Evidence Matters: Randomized Tri-

als in Education Research(Mosteller, Boruch), 314

exit polls, 14experimental design, 81experimental research, 313experiments, 101expert systems, 63explained variance, 94, 98exploratory data analysis, 279

faculty seminar, 97–98, 108Faculty Seminar on Health and Medi-

cine, 228–231, 289, 306family inputs, 100FDA (Food and Drug Administra-

tion), 86, 236Federalist Papers, authorship of, 47–

64feedback on drafts, 272–274, 315filler words, 56finishing, 132Fisher Memorial Lecture, 169Fisher’s discriminant function, 50,

62Follow Through program, 101Food and Drug Administration, 86,

236Ford Foundation, ixforecasting problems, 12fossil, 62fraud, 11, 267, 298, 299

338 Subject Index

free-responding situations, 37frequency theory, 51, 60, 61function words, 53, 64funding of schools, 104

Gallup Poll, 5, 9, 12–14game theory, 43, 169Gauging Public Opinion (Cantril

et al.), 150general theory of runs, 165generating functions, 137go tape, 257gross programming errors, 80group measures, 27Group of Seven, 280

Handbook of Social Psychology(Lindzey), 42

Harvard School of Public Health,vii, 228, 230, 237, 289, 293,305

Harvard University, ix, 78, 89, 96,191–201Department of Biostatistics, 289–

291, 305Department of Health Policy

and Management (HP&M),293–296

Department of Social Relations,xii, 20, 23, 150, 186, 191–194, 199–200, 203, 207, 256,293, 294

Department of Statistics, xii,51, 203–214, 257–258, 287

Faculty Seminar on Health andMedicine, 228–231, 289, 306

Health Science Policy Work-ing Group, 229, 297–302,307

Statistical Laboratory of, 54teaching at, 256–258

Head Start, 101Health Care Financing Adminis-

tration, 84–85, 236height/weight example, 101

hepatic necrosis, 69, 72, 74Hispanic groups, 102home environment, student, 91homo sapiens, emergence of, 62hospital death rates, 83–85house assessment example, 94, 98

identification procedures, 56Illinois Poll, 16Imperial Chemical Industries, Ltd.,

74improving education, 105Indianapolis, Indiana, 113, 116Indiana University, 27, 35

Institute for Sex Research at,19, 28

individual difference problem, 40Initiatives for Children project, 312,

313innovations

in observational studies, 234in randomized clinical trials,

233types of, 226

input, equality of, 91, 92insight learning, 38Institute for Sex Research, at Indi-

ana University, 19, 28Institute of Mathematical Statis-

tics, 146, 164Institute of Medicine, 71, 297Institutional Differences Study, 84,

218institutionalization, 106institutional review boards, 219instructional expenditures, 95instrumental conditioning, 37integration of schools, 89, 91interdisciplinary work, 302, 314interfering variables, 82, 84International Journal of Technol-

ogy Assessment in Health Care,307

interviewer effects, 6

Subject Index 339

interviewing methods, 21The Iowa Poll, 16Iowa State College, 90“irrelevance of irrelevant alterna-

tives,” 40isolates problem, 245–246, 248–249

John and Mary K. Markle Founda-tion, 40

Joint Statistical Societies, 60journalists, statisticians and, 298–

299Journal of the American Statistical

Association, 10, 88, 187, 289Journal of the Royal Statistical So-

ciety, 153

Kinsey and the Institute for SexResearch (Pomeroy), 28

Kinsey Report, 19–28, 220

laboratory facilities, equality of, 92–93

Ladoga, Indiana, 113Lake Junaluska conference, 9, 186–

188Laplace’s method, 64learning theory, 31–43life cycle, student, 103–104likelihood, 60linear models, 35, 36linear operators, 39list of words example, 34Literary Digest, 5literary identification, 56liver complications, with halothane,

69–75, 78logistic regression, 86“Low Moments for Small Samples”

(Hastings et al.), 180

“The Magical Number Seven, Plusor Minus Two” (Miller), 49

magic tricks, 157–162

Margaret Morrison School for Women,138

margin of error, 25marker words, 54Massachusetts General Hospital, 20,

33, 72, 217–219The Masters (Snow), 199matching, 222–223“A Mathematical Model for Simple

Learning” (Bush, Mosteller),37

mathematical models for learning,31–43

mathematical operators, 39mathematical psychology, 31–43medical therapies, randomized tri-

als for, 234Medical Uses of Statistics (Bailar,

Mosteller), 266, 279, 306Medicine Worth Paying For (Fra-

zier, Mosteller), 310meta-analysis, 299–300, 309–310, 313Methoden der mathematischen Physik

(Courant, Hilbert), 139The Minnesota Poll, 16minority college science program,

103minstrel show joke, 71model choice, 61model sensitivity, 39model testing, 57Modern English Usage (Fowler), 174Monte Carlo methods, 38Mosteller Spelling Trick, 159multi-institutional trials, 107multiple correlation, 95multiple endpoints, 235multiple regression analysis, 94–96multi-stage sampling, 28

naıve Bayes, 64National Academy of Sciences, 31,

69, 70

340 Subject Index

National Advisory Council on Equal-ity of Educational Opportu-nity, 102

National Assessment of EducationalProgress, 220

National Center for Education Statis-tics, 90

National Council of Teachers of Math-ematics (NCTM), 275, 277, 278,280

National Halothane Study, 69–86,217, 231

National Medal of Science, 80National Research Commission on

Elections and Voting, SocialScience Research Council, 17

National Research Council (NRC),6, 31, 69, 70

National Research Council Com-mittee for Research in Prob-lems of Sex, 20

negative binomial distribution, 57,61, 64

New England Journal of Medicine,266, 279, 290, 306

The New Jersey Poll, 16News and Numbers (Cohn), 298New Yorker Magazine, 185The 1948 Election Study, 161948 pre-election polls, 5–14, 220non-contextual words, 56nonparametric methods, 185nonresponse, 6, 14, 98nonresponse bias, 25–26non-sampling errors, 6noun-adjective ratio, 50NRC. See National Research Coun-

cilnumerator-only data, 71

observational data, 86observational studies, 234odds, 58, 59The Odyssey, 180

Office of Public Opinion Research,Princeton University, 47, 147,166

Ohio Wesleyan University, 123, 157On Equality of Educational Oppor-

tunity (Mosteller, Moynihan),98–102

one-shot surveys, 101one-trial learning, 38On Liberty (Mill), 135operant conditioning, 37operational definitions, 50operations research, 52operators, mathematical, 39opinion polling, 5–14, 25order statistics, 179–180organizing statistics, 203–214outliers, 212output, equality of, 91, 93

pain relief, 33paleontologists, 62panel methods, 6Panel of Pathologists, 83Parkersburg, West Virginia, 113partial information, 213part-whole problem, 75patient mix, 76performance differences, 93persistence forecasting, 12The Phoenix, 159physical-measurements course, at

Carnegie Institute of Technol-ogy, 136

physical status, 77, 81Pittsburgh, Pennsylvania, 113, 125,

133placebo, 33placebo response, 218–219The Place of Psychology in an Ideal

University (Gregg et al.), 192Planned Variation, 101polio vaccine, 76post-election follow-up surveys, 10

Subject Index 341

posterior distribution, 51Pre-election Polling: Sources of Ac-

curacy and Error (Crespi), 14pre-election polls, 5–17President’s Commission on Federal

Statistics, 220–221, 223–224Princeton University, 6, 7, 10, 80,

148, 163graduate school at, 146–156teaching at, 253–255

prior distribution, 51, 60probabilistic models, 33–34probability model, 57probability sampling, 13, 14, 28projects, making productive, 300–

301, 314–316Project Talent, 89Project 2061, 106prospective studies, 313psychological studies, mathemati-

cal models for, 33publication bias, 195Public Opinion Quarterly, 9pupil performance, 90

quality control methods, 173, 175quality of care, 84quality of life, 231–232Quality of Life and Technology As-

sessment (Falotico-Taylor,Mosteller), 232

quota sampling, 13

racial integration, academic perfor-mance and, 96

RAND Corporation, 90, 199, 265random digits, 247randomized controlled trials, 72, 86randomized experiments, 108randomized studies, 221–223, 234random numbers

isolates problem with, 248in teaching, 246–250

random polynomials, 213random sampling, 28

random walks, 41rank correlation coefficient, 137, 147rare events, 58, 74, 86redundancy, 59regression analysis, 94–96reinforcement, 35, 36, 37, 43representativeness, 25Research Branch of the War De-

partment, 166research synthesis, 108. See also

meta-analysisresource-based relative-value study,

295resources, distribution of, 297–298respondent selection, 13response biases, 14response rates, 28retrospective study, 73risk assessment, 74risk communication, 12risk factors, 81road construction jobs, 119, 129,

146, 147robust methods, 212, 279Roosevelt-Landon election, 5Roper Poll, 5, 9, 12–14Rourke Stupidity Test, 273runs, distribution of, 163–166runway experiments, 40Russell Sage Foundation, 7

Sabin vaccine, 76safety of anesthetics, 69–86Salk vaccine, 76, 227sample surveys, 5–14, 89–108, 220sampling, 6, 13, 24, 25, 28, 77sampling errors, 12sampling experiments, 27Sampling Inspection (Freeman et

al.), 173sampling schemes, 77Schenley High School, 125–126, 140school effects, 96, 99school facilities, 92

342 Subject Index

school inputs, 100school integration, 102school placement, 100schools

Black, 100capital development for, 106class size, 95, 312desegregation of, 103performance variance in, 95Southern, 100

science writers, 298segregation, 91Selected Papers of Frederick Mosteller

(Fienberg, Hoaglin), viiiselection effects, 103selective reporting, 72, 75selective serotonin reuptake inhibitors

(SSRIs), 86self-selection, 100seminar on Equality of Educational

Opportunity, 96–102seminar on health and medicine,

228–231, 289, 306sensitivity testing, 60sentence length, 47, 49separate but equal, 89sexual behavior, in United States,

19–28Sexual Behavior in the Human Fe-

male (Kinsey et al.), 20Sexual Behavior in the Human Male

(Kinsey et al.), 19side effects, 75–76simulations, 27, 38slam-bang effects, 227small-area variation, 230–231small classes, 95Social Choice and Individual Val-

ues (Arrow), 40social composition of classmates,

99Social Relations, Department and

Laboratory of, 32

Social Science Research Council(SSRC), 6, 7, 15, 31, 32, 40

socioeconomic status, 99Solomon-Wynne experiment, 38sorting, variables and, 62Southern schools, 100sparse contingency tables, 79, 86Spectator, 49SRGPJr, 9, 166, 169, 171, 174, 184,

254, 256SSRC. See Social Science Research

CouncilSSRIs. See selective serotonin re-

uptake inhibitorsstandardized interviewing, 25, 28Stanford University, 85

Center for Advanced Study inthe Behavioral Sciences at,59, 77

stat-asses, 41statistical adjustment, 70, 82, 84statistical inference, 57Statistical Laboratory, of Harvard

University, 54statistical methods, 63A Statistical Model: Frederick

Mosteller’s Contributions toStatistics, Science, and PublicPolicy (Fienberg et al.), viii

Statistical Problems of the KinseyReport on Sexual Behavior inthe Human Male (Cochran etal.), 24

Statistical Research Group of Colum-bia, 166, 167, 169, 173

Statistical Research Group of Prince-ton, 9, 166

Statistics: A Guide to the Unknown(Tanur et al.), 275–277, 278,279

Statistics by Example (Mosteller etal.), 277–278

stat-rats, 38, 41stimulus generalization, 38

Subject Index 343

Stochastic Models for Learning (Bush,Mosteller), 38, 40, 42

studentbackground variables, 95home environment, 91interest, 245life cycle, 103–104

Student’s t distribution, 249–250stumblebum teaching technique, 244Sturdy Statistics: Nonparametrics

and Order Statistics (Mosteller,Rourke), 274, 276

stylistics, statistical, 47stylometry, 64suboptimizing, 75–76The Sun-Times Straw Poll, 16survey problems, 6Survey Research Center, 6The System Programmer’s Prob-

lem Solver (W. Mosteller), 285

Tables of Random Permutations(Moses, Oakford), 285

TAG. See Technology AssessmentGroup

teacher education/recruitment, 107teachers, social status of, 107teaching

at Carnegie Institute of Tech-nology, 243, 250

use of cases in, 294experience/techniques, 243–268at Harvard University, 256–258mathematical modeling, 42at Princeton University, 250–

255use of random numbers in, 246–

250statistics to non-statisticians,

264–268team efforts, organizing, 314–316technology assessment, 220, 309–

311Technology Assessment Group

(TAG), 287, 307, 310, 313

teen suicides, 86Tennessee class size study, 108, 312Terrestrial Magnetism, 153The Texas Poll, 16Theory of Games and Economic

Behavior (von Neumann, Mor-genstern), 196

three-choice experiments, 40three-dice problem, 136–137time on task, 225T-maze experiment, 35, 39, 40Tom Jones (Fielding), 134transforming data, 213treatment choice, probabilities and,

37The Trenton Poll, 16trial-by-trial approach, 37Truman-Dewey election, 5two-choice situation, 36

“Ultimate Choice between Two At-tractive Goals” (Mosteller, Tat-suoka), 42

unanticipated outcomes, 86unbiased estimation, 175, 177–180undecided voters, 12, 13, 14university-industry relationships, 299University of Chicago, 51, 77, 206,

208urn model, 57utility, measurement of, 196–199

variablessorting and, 62student-background, 95

variance in school performance, 95verbal learning, 40voting intentions, 12

The Washington Post Poll, 16weather forecasting, 12, 169Wilkinsburg, Pennsylvania, 113, 114,

138Williamsport, Pennsylvania, 113, 121,

123

344 Subject Index

word count, 47word-count methods, 64word frequency, 53, 55, 57, 61word learning example, 34word markers, 54, 55word weighting, 53

zeroth draft, 315