Statistics

STATISTICS

w w w . a l p h a s c i . c o mPrices and Pub Dates subject to changeISBN Prefix: Alpha Science — 978-1-84265; Narosa — 978-81-7319, 978-81-85198USD Price valid for North America Only / GBP Price valid for Rest of the World Statistics 1

STATISTICS

w w w . a l p h a s c i . c o m Prices and Pub Dates subject to changeISBN Prefix: Alpha Science — 978-1-84265; Narosa — 978-81-7319, 978-81-85198

USD Price valid for North America Only / GBP Price valid for Rest of the World2 Statistics

STATISTICS


Applied Time SeriesAnalysis and ForecastingT. M. J. A. Cooray

Applied Time Series: Analysis and Forecasting provides the theories methods and tools for necessary modeling and forecasting oftime series. It includes a complete theoretical development of univariate time series models with each step demonstrated with ananalysis of real time data series. The result is clear presentation, quantified subjective judgment derived from selected models appliedto time series observations. Utilizing real time series to demonstrate theoretical Approaches, the author explores diverse aspects of timeseries, including how to identify structure, explain observed behaviour, model structures and behaviours, and interpret analysis to makeinformed forecast. The book also illustrates concepts such as components decomposition, fundamental model form such as trendscycles seasonality and practical requirement.

Contents: Preface / Abbreviations / Scope of the Book / Analysis of Time Series / Classical Time Series Decomposition / Exponential Smoothing Method / Stationary &Nonstationary Time Series / Stationary Stochastic Processes / The Box-Jenkins ARIMA Methodology / Model Identification and Diagnostics Checking / Applications of Box-Jenkins Methodology / Recursive Estimation of Time Series Models / Recursive Estimation and Time-Varying Parameter Models / Implementation of Recursive Methods in ExcelSpread Sheet / Appendix / Glossary of Forecasting Terms / References / Index

Audience: Undergraduate – Postgraduate Students, Researchers & Professionals within business, statistics, economics, engineering,and operations research program

2008 294pp 100Figs. 63Tables 160 x 240 620g Hb ISBN: 978-1-84265-471-2 £ 24.95 / US$ 49.95

Bayesian Parametric InferenceAshok K. Bansal

Bayesian Parametric Inference provides a systematic exposition and discusses in detail the conjugate and noninformative prior distributions,predictive distributions and their applications to problems of inventory control, finite populations, structural change in the model and controlproblems. Information theoretic approach to construct maximal data information prior and maximum entropy priors is also discussed.Bayesian decision theoretic approach is followed to obtain Bayes estimates under various loss functions. The concept of Bayes Factor forcomparing hypotheses is explained with the help of some simple but illustrative examples.

Key Features:More than 300 Solved Examples 250 Unsolved Exercises 350 Remarks Glossary of Bayesian Terms Exhaustive List of References

Contents: Foreword / Preface / Probability, Random Variables and their Probability Distributions / Some Special Distributions / Bayes Theorem / Conjugate Prior Distribution / Non-Informative Priors / Bayes Estimation / Hypothesis Testing / Predictive Inference / Bayesian Inference for the Linear Model / Large Sample Approximations / Other Topics / QuestionBank / Glossary / Tables / Bibliography / Index

Audience: Senior Undergraduate & Graduate Students in Statistics

2007 468pp 185 x 240 950g Hb ISBN: 978-1-84265-388-3 £ 34.95 / US$ 69.95

A First Course in Asymptotic Theory of StatisticsT. K. ChandraAudience: Graduate & Postgraduate Students & Teachers

1999 264pp 155 x 230 350g Pb ISBN: 978-81-7319-260-9 £ 32.00 / US$ 64.50

A First Course in ProbabilityThird EditionT. K. Chandra, D. Chatterjee

The third edition of this text is yet another step ahead of the second edition in that this has one more appendix viz. the theory of errors in addition to the revisionsof some small segments. The treatment is as before; rigorous yet elegant and user-friendly and covers a wide range of topics such as transformation, convergenceand multivariate analysis. The special feature of this text is its effort to resolve many outstanding confusions in probability and statistics.Audience: Graduate, Postgraduate Students & Teachers

2005 510pp 21Figs. 160 x 240 1000g Hb ISBN: 978-1-84265-208-4 £ 38.00 / US$ 74.50

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A First Course on Parametric InferenceSecond EditionB. K. Kale

New to the Second Edition:A Chapter on nonparametric inferenceTechniques for one sample and two sample problems presented with emphasis on sign test, Kolmogorov - Smirnov Test, Wilcoxonsigned rank test and Wilcoxon Mann - Whitney testSeparate section added on maximum likelihood estimation in parametric models for censored and truncated dataAdditional illustrative examples and exercises

Audience: Senior Undergraduate, Graduate Students & Teachers

2005 308pp 160 x 240 700g Hb ISBN: 978-1-84265-219-0 £ 35.00 / US$ 68.00

Introduction to Applied StatisticsA Non-Calculus Based ApproachDavid D. Hanagal

Introduction to Applied Statistics: A Non-Calculus Based Approach expresses our intent to introduce readers to statistics as it is used in practice. Introductionto Applied statistics is concerned with gaining understanding from data; it focuses on problem solving rather than on methods that may be useful in specificsettings. A text cannot fully imitate practice, because it must teach specific methods in a logical order and must use data that are not the reader’s own.This book makes non-statisticians, under-graduates, graduates, scientists and researchers understand statistics easily. The proofs of theorem and lemmasare not that necessary at the elementary level but it is necessary to know when, where and why to use these tools instead of proving a theorem or lemma. Thisbook is very brief and compact in size and covers only the most necessary topics useful in day today life.

Contents: Frequency Distribution and Graphical Representation of Data / Measures of Central Tendency and Dispersion / Probability Theory / Probability Distributions /Sampling Distribution / Statistical Inference: Estimation / Statistical Inference: Testing of Hypothesis / Analysis of Variance / Simple Linear Regression and Correlation / NonparametricTests / References / Statistical Tables / Answers to Exercises / Snap Shot Formulas / Index

Audience: Undergraduate and Graduate Students, Professionals, Researchers, Scientists and Non Statisticians

2009 275pp 185 x 240 Hb ISBN: 978-1-84265-531-3 TBA

An Introduction to Estimating FunctionsP. Mukhopadhyay

Contents: Foreword / Preface / Introduction / Basic Concepts / Estimating Functions in the Multi-Parameter Case / Estimating Functions in the Presence ofNuisance Parameters / Information in Distribution in the Presence of Nuisance Parameters / Estimating Functions in Semi-Parametric / Estimating Functionsin Survey Sampling / Appendix / References / Author Index / Subject Index

Audience: Graduate & Postgraduate Students, Teachers and Researchers

2004 244pp 160 x 240 700g Hb ISBN: 978-1-84265-163-6 £ 48.00 / US$ 95.00

An Introduction to Stochastic ProcessA. K. Basu

A text for advanced courses in statistics, applied mathematics, operation research, computer science, different branches of engineering,business and management, economics and life sciences etc., is aimed between elementary probability texts and advanced works on stochasticprocesses. What distinguishes this text are the illustrations of theorems by examples and applications.

Audience: Undergraduate & Postgraduate Students & Teachers


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An Introductory Course of Statistical MechanicsPalash B. Pal

An Introductory Course of Statistical Mechanics introduces the subject to readers without any prior knowledge of the subject. In mosttextbooks, Statistical Mechanics appears to be a branch of Condensed Matter Physics. This book has a different perspective. It gives greatimportance to relativistic systems, thus paving the way for various applications of Statistical Mechanics, from nuclear reactions to Astrophysicsand Cosmology. Non-relativistic systems and their applications to Condensed Matter Physics are not abandoned either: there are discussionson gases, liquids and magnetic systems. The book ends with one chapter on Phase Transitions and one on Boltzmann equation. Overall,the book presents Statistical Mechanics from a broader perspective encompassing many branches of Physics.

Contents: Preface / Notations / List of Tables and Figures / A Review of Thermodynamics / Microstates and Macrostates / Microcanonical Ensemble / Canonical Ensemble /Grand Canonical Ensemble / Equivalence of Different Ensembles / Non-interacting Bose Gas / Non-interacting Fermi Gas / Heat Capacities / Stellar Matter / ApproximationMethods / Fluids / Ising and Related Models / Inhomogeneous Systems / Phase Transitions / Boltzmann Equation / A: Physical Constants / B: Useful Mathematical Results / C:Books of Related Interest / D: Answers to Selected Exercises / Index

Audience: Undergraduate & Postgraduate Students in Physics


Labelings of Discrete Structures and ApplicationsEditors: B. D. Acharya, S. Arumugam, Alexander Rosa

The problems arising from the study of a variety of labeling schemes of the elements of any discrete structure such as a graph, a directedgraph, a hypergraph or a signed graph is a potential area of research with a lots of challenging unsolved problems. Research papersgiving recent developments and directions for further research on topics such as graceful labelings, graph decomposition, multiplicativelabelings, set labelings, sigma graphs, orthogonal labelings, Skolem and Hooked Skolem graceful labelings for graphs and signedgraphs, set magic labeling, k-equitable graphs and Arithmetic graphs by leading experts in the respective fields are included inthis volume.This volume will serve as an excellent reference for experts and research scholars working on Graph Labeling Problems.

Contents: Preface / Labelings of Discrete Structures – New Challenges / Uniform Intersection Set-Labelings of a Graph: I Regularisable Graphs / Multiplicatively IndexableGraphs / Some New Perspectives on Arithmetic Graphs / On Set-Valuations of Graphs / Embeddings and NP-Complete Problems for Graceful Graphs / A Note on GracefulLabelings and Graph Decomposition / Common Weight Decomposition Into Minimum Acyclic Graphoidal Covers / Label Graphoidal Covering Number of a Graph / On MultiplicativeLabelings of a Graph / On Set Labelings of Graphs / On Triangular Sum Labelings of Graphs / k-equitable graphs k=2,3 / Sigma Graphs: Survey / Orthogonal Labelings ofGraphs / Skolem and Hooked Skolem Graceful Sigraphs / Skolem Graceful Graphs: A Survey / A Note on Set-magic Graphs / A Graph Labeling Related to Root Lattices / Listof Participants

Audience: Graduate Students, Teachers & Researchers

2008 192pp 160 x 240 500g Hb ISBN: 978-81-7319-860-1 £ 44.95 / US$ 89.95

The Laws of Large NumbersT. K. Chandra

The Laws of Large Numbers contains the usual laws of large numbers together with the recent ones derived in unified and elementaryapproaches. Most of these results are valid for dependent and possibly non-identical sequence of random variables. These areestablished under much greater generalities with methods drastically simpler than the standard ones available in current text-books.Using the uniform Integrability type conditions, the monograph supplements the strong laws of large numbers by proving Lp-convergenceof the sample mean to its expectations.

Contents: Some Classical Laws of Large Numbers: Chebyshev’s Inequality and Its Applications / Borel-Cantelli Lemmas / Some Notions of Stochastic Convergence /Uniform Integrability / Some Well-known Laws of Large Numbers / Some Recent Laws of Large Numbers: Some Recent L1 – LLNs / Some Recent SLLNs / Some Recent Lp

– LLNs / Some Further Results on SLLN: Method of Subsequences / Marcinkiewicz-Zygmund SLLN / Mixingales / SLLN for the Weighted Averages / Extensions of anInequality of Kolmogorov / Miscellaneous Results / Appendix: Some Further Results on Uniform Integrability

Audience: Graduate Students & Researchers

2009 152pp 185 x 240 Hb ISBN: 978-81-7319-922-6 £ 34.95 / US$ 69.95

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Mathematical StatisticsA Text BookSuddhendu Biswas, G. L. Srivastava

A lucid presentation of modern probability theory based on Measure theoretic approach with examples. Presentation of the genesisof all standard probability distributions (Discrete, Absolutely Continuous and Singular Distributions) inclusive of circular, Singulardistributions. New Interpretations of some distributions like Pareto, Logistic etc. Characterization of Distributions and inclusion ofCensoring of Distributions is a unique feature of the book. Coverage of Regression Analysis in a text book of statistical methodologyis also a new feature of the book. A large number of solved and unsolved examples is also a special feature of the book.

Contents: History of Statistical Thoughts / Mathematical Background of Measure Theory / Probability Theory / Distribution Theory / Expectations, Stochastic Convergenceand Limit Theorems / Specific Distributions (Discrete and Absolutely Continuous) / Regression and Correlation / Regression Analysis / Characterizations of Some Basic Discreteand Absolutely Continuous Distributions / Parametric Statistical Inference and Censoring of Distributions / Nonparametric Statistical Inference and Order Statistics / LargeSample Theory and Transformations in Statistics / Non-central Distributions and Multivariate Analysis

Audience: Undergraduate - Postgraduate Students & Researchers

2009 300pp 185 x 240 Hb ISBN: 978-1-84265-489-7 £ 24.95 / US$ 49.95

Microarray DataStatistical Analysis Using RShailaja R. Deshmukh, Sudha G. Purohit

Functional Genomics, a branch of Bioinformatics, is essentially an interdisciplinary subject in which Biologists, Statisticians and Computerexperts interact to analyze the microarray data. This book caters to the needs of all the three disciplines. For Biologists and Computerscientists, it explains concepts of statistics and statistical inference. For Biologists and Statisticians, it provides annotated R programs toanalyze microarray data. For Statisticians and Computer scientists, it explains basics of biology relevant to microarray experiment. Thus,the book will be useful to scientists from all the three disciplines, with not much knowledge of other disciplines, to analyze microarray dataand interpret the results.Key Features:

Numerous illustrations supplemented by diagrams, tables and figures to grasp the basic concepts of Statistics and its applications to Microarray Data.Annotated R programs at the end of each chapter to carry out analysis.

Contents: Preface / Introduction to Microarray Experiment / Normalisation of Microarray Data / Comparative Inference Procedures / Principal Component Analysis / ClusterAnalysis / Logistic Regression Analysis / Case Studies/ Appendix / References / Answers to Exercises / Index.

Audience: Postgraduate Students in Statistics, Life Sciences, Bio-medicine, Biotechnology & Computer Science

2007 340pp 185 x 240 800g Hb ISBN: 978-1-84265-423-1 £ 37.50 / US$ 75.00

Operations ResearchK. Chandrasekhara Rao, S. L. Mishra

Contents: Preface / Introduction / Mathematical Background / Linear Programming: Graphical Method / Linear Programming: Simplex Method / Duality in Linear Programming /The Revised Simplex Method / The Transportation Problem / Assignment Problem / Game Theory / Dynamic Programming / Integer Programming Problem / Project Management /Decision Theory / Sensitivity Analysis / Goal Programming / Queueing Theory / Bibliography / Index

Audience: Undergraduate & Graduate Students of Engineering / Management & Teachers2005 348pp 160 x 240 700g Hb ISBN: 978-1-84265-120-9 £ 50.00 / US$ 98.00

Operations Research MethodsSujit K Bose

The science of Operations Research seeks efficiency and economy in organizational setups engaged in many economic activities. This book develops importantmathematical models cropping up in different decision-making situations in a general manner and then proceeds to give algorithmic development of methods ofsolution. Though the methods of solution are very diverse in nature, the mathematical tools employed are mainly matrix algebra and elements of probability theory.This book will be useful as a text for a one-semester course in engineering and science and as a reference in economics and business administration.Audience: Undergraduate & Postgraduate Students in Computer Science, Mechanical (Production), Construction and Chemical Engineering,

Mathematics, Economics and Business Administration2005 272pp 54Figs. 160 x 240 700g Hb ISBN: 978-1-84265-221-3 £ 29.95 / US$ 59.95

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Optimal Maintenance of Large Engineering SystemPractical Strategies for Effective Decision MakingA. K. Verma, A. Srividya, P. G. Ramesh

Maintenance has an essential role in ensuring that engineering systems perform at expected levels of reliability, availability and safety in a cost effectivemanner and in keeping with the corporate demands. A review of extensive research in the field of maintenance indicates that most models either have over-simplified assumptions or are analytically and computationally too intensive for practical application. Optimal Maintenance of Large Engineering Systemendeavors to address this anomaly for the maintenance decision maker and researcher. The book brings under one roof, a critical discussion on the classicaland contemporary analysis of maintenance models, presentation of maintenance decision as a multi-objective optimization problem using genetic algorithmsand use for fuzzy logic for handling uncertainty and expert opinion or domain knowledge with particular reference to maintenance of large engineeringsystems. There are also necessary inputs to equip the readers with the necessary skills, such as genetic algorithms, fuzzy sets, bayesian statistics, etc., aswell as a detailed exposure to tools and techniques for maintenance planning and management, CMMS and expert systems.

Contents: Introduction / Modeling for Maintenance Decisions / Maintenance of Engineering Systems: A Multi-Criteria Problem / Multi-Objective Maintenance Optimizationusing Genetic Algorithms / Uncertainty in Maintenance Decisions / Fuzzy Maintenance Decision Making / Optimal Spare Parts Inventory Decisions / Maintenance Costing /Maintenance Management with Learning / Maintenance Planning: Tools and Strategies / Appendices / References / Bibliography / Index

Audience: Undergraduate – Postgraduate Students, Professionals & Researchers

2009 350pp 100Figs. 185 x 240 Hb ISBN: 978-1-84265-524-5 £ 49.95 / US$ 99.00

Point Processes and Product DensitiesEditors: S. K. Srinivasan, A. VijayakumarAudience: Researchers & Professionals

2003 168pp 185 x 240 520g Hb ISBN: 978-81-7319-558-7 £ 49.00 / US$ 94.95

Quality, Reliability and Information TechnologyTrends and Future DirectionsEditors: P. K. Kapur, A. K. Verma

Reliability Engineering and Quality Management provide a competitive advantage and market leadership in a global environment wheremarket barriers are fast disappearing both in the domain of cutting edge and contemporary technologies, manufacturing, process and servicesectors like Information Technology sector. The growth of Q & R has been fuelled by increasing sophistication and complexity of system andorganisational awareness to produce and market high Quality and Reliability products and services by the consumer and global market pressures.This subject being interdisciplinary in nature has also brought about a convergence of numerous solution strategies employing Fuzzy Sets,Artifical Neural Nets, Modeling and Simulation, Knowledge Base Systems, Operations Research and Mathematical Programming to achieve high Reliability. Thisbook is intended for both the beginner and practitioner from manufacturing and service sector, research laboratories and academic institutions. This book is uniquealso as it gives an insight into the current practices and future directions.Audience: Students & Researchers


Sample Survey TheoryDes Raj, P. ChandhokContents: Preface / Elements of Probability and Estimation / Sample Survery Background / Basic Methods of Sample Selection/ Stratification / Further use of SupplementaryInformation / Sampling & Subsampling of Clusters / Double-Sampling Procedures & Repetitive Surveys / Nonsampling Errors / Other Developments

Audience: University level Students & Statisticians

1998 361pp 155 x 230 630g Hb ISBN: 978-81-7319-137-4 £ 45.00 / US$ 98.00

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Sampling Theory and MethodsSecond EditionS. Sampath

Sampling Theory and Methods presents in detail several sampling schemes like simple random sampling, unequal probability samplingmethods, systematic, stratified, cluster and multistage sampling. In addition to sampling schemes a number of estimating methods whichinclude ratio and regression estimators are also discussed. The use of superpopulation models is covered in detail along with recent developmentsincluding estimation of distribution functions, adaptive sampling schemes etc.

New to the Second Edition:Contents reorganized to establish a coherent link between various conceptsSeveral numerical examples associated with real life solutions for bringing out the relevance of theory in real life context

Contents: Preface / Preliminaries / Equal Probability Sampling / Systematic Sampling Schemes / Unequal Probability Sampling / Stratified Sampling / Use of Auxiliary Information /Regression Estimation / Multistage Sampling / Non-sampling Errors / Recent Developments / References / Index

Audience: Undergraduate & Postgraduate Students

2005 206pp 160 x 240 600g Hb ISBN: 978-1-84265-214-5 £ 34.95 / US$ 69.95

Statistical ComputingExisting Methods and Recent DevelopmentsD. Kundu, A. Basu

Statistical Computing: Existing Methods and Recent Developments attempts to provide a state of the art account of existing methodsand recent developments in the so called new field of Statistical Computing. Fourteen different chapters deal with a wide range of topics. Thisincludes introductory topics such as the basic numerical analysis methods, random number generation, graphical techniques used in statisticaldata analysis and other areas. It also covers the more specialized techniques such as the EM algorithm, genetic algorithms, nonparametricsmoothing techniques, resampling methods, and artificial neural network models, to name a few. In addition, the volume also deals with thecomputational issues involved in the analysis of mixture models, adaptive designs, weighted distributions, and statistical signal processing,topics which are unlikely to be covered in a standard text on Statistical Computing.Audience: Senior Undergraduate and Graduate Students and Teachers

2004 428pp 160 x 240 900g Hb ISBN: 978-1-84265-202-2 £ 35.00 / US$ 69.95

Statistical Inference and Design of ExperimentsEditors: U. J. Dixit, M. R. Satam

The aim of this volume is to be well informed about recent developments in theoretical and applied aspects of Statistics. A major part of this book comprises ofstatistical inference and design of experiments.Audience: Graduate & Research Students, Professors & Professionals

1999 206pp 185 x 240 575g Hb ISBN: 978-81-7319-281-4 £ 68.00 / US$ 130.00

Statistical Methods and PracticeRecent AdvancesEditors: N. Balakrishnan, N. Kannan, M. R. Srinivasan

Contents: Preface / List of Contributors / List of Tables / Part 1. General / Part II. Distribution Theory / Part III. Inference / Part IV. Outliers and RobustInference / Part V. Design of Experiments / Part VI. Survival Analysis and Reliability / Part VII. Applied Probability / Subject Index / Author Index

Audience: Postgraduate Students, Teachers & Researchers

2003 365pp 160 x 240 800g Hb ISBN: 978-81-7319-483-2 £ 65.00 / US$ 130.00

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Statistical Techniques in Life-Testing, Reliability,Sampling Theory and Quality ControlEditor: B. N. Pandey

Statistical Techniques in Life-Testing, Reliability, Sampling Theory and Quality Control covers recent research in the unified branchesof theoretical and applied Statistics on common platform. These generally involve the concept of probability theory, prior information(Bayes and Minimax both), distribution theory, order statistics censoring, truncation, loss and risk function, conditional distribution (sufficiencyand complete sufficiency), sampling techniques using non-response techniques and post-stratification etc.Log-normal models in survival data, Bernoulli’s trials, regression, ration under non necessarily model, CUSUM techniques in control charts, and reliability modelswith wide applications in other disciplines such as biology, mining and coal, industries, agriculture population, science and technology, medical sciences, researchorganizations, engineering, operation research, cancer institute, defense organizations, etc. are also discussed.

Contents: Preface / Estimation of variance in Type II Censored Data from Exponential Distribution under Asymmetric Loss Function / Further Variations on the Skew-Normal Theme/Properties of a Preliminary Test Estimator of an Inverse Gaussian Population Mean / Lognormal Model for Survival Data with Surviving Fraction / Methods of Estimation for Mean Assistedby a Finite Population Model / Patterns of Success and Failure in Bernoulli Trials / The Comparison of Some Nonparametric Two-Sample Location Tests under Population VarianceDifferences / Estimating HIV Infections Among Drug Abusers Using Randomized Responses / Analysis of X and R-charts when Standards Vary Randomly / Data-Analysis: Some CaseStudies / On Testing Whether New is Better than Used of an Unknown Specified Age / Bayesian Estimation of the Scale of Gamma Distribution Using Precautionary Loss Function /Predictive Efficiency of Improved Estimators in Regression Models / Lattice Sampling without Sample Size Restriction / A Generalized Estimator in Restricted Regression Model whenDisturbances are not Necessarily Normal / Profit Analysis of Reliability Models with Priority in Operation as well as in Repair / Estimation of the Ratio of the Two Population Means UsingMulti-Auxiliary Characters in the Presence of Non-Response / A Class of Estimators for Post-Stratified Cluster Sampling / On Estimating Population Mean Using Auxiliary Information /Improved Estimation of Mean Life After Warranty in Exponential Failure Model / CSCC for Common Parameter of Several Exponential Distributions

Audience: Graduate Students, Teachers & Researchers

2007 224pp 185 x 240 700g Hb ISBN: 978-81-7319-742-0 £ 59.95 / US$ 120.00

Statistics Using RSudha G. Purohit, Sharad D. Gore, Shailaja R. Deshmukh

Statistics Using R will be useful at different levels, from an undergraduate course in statistics, through graduate courses in biologicalsciences, engineering, management and so on. The book introduces statistical terminology and defines it for the benefit of a novice.For a practicing statistician, it will serve as a guide to R language for statistical analysis. For a researcher, it is a dual guide,simultaneously explaining appropriate statistical methods for the problems at hand and indicating how these methods can beimplemented using the R language. For a software developer, it is a guide in a variety of statistical methods for development of asuite of statistical procedures.

Contents: Preface / Introduction to R / Descriptive Statistics / Probability and Probability Distributions / Statistical Inference / Correlation and Regression Analysis /References / Index

Audience: Undergraduate – Postgraduate Students, Professionals & Researchers


Survey SamplingP. Mukhopadhyay

Survey Sampling reviews aspects of statistical inference in finite population sampling. After reviewing important results in fixed populationmodels, the book considers in detail the model-dependent optimal strategies of Royall and Herson (1973) and the robustification of thesestrategies under model breakdown. It then reviews model assist strategies of Cassel, Sarndal and Wretman (1976) and Wright (1983).Asymptotic properties of these strategies are also reviewed. Another approach is design-based calibration of Deville and Sarndal (1992).Design-based conditional inference is an alternative approach which has drawn considerable attention to survey statisticians. Lastlythe book reviews two important tools of making inference, -Model Calibration approach and Empirical Likelihood based approach.Post-stratification is another aspect which requires considerable attention.

Contents: Preface / The Preliminaries / Some Inferential Problems under Fixed Population Set-up / Model-Dependent Optimal Strategies / Robustness of Model-DependentOptimal Strategies / Model-Assisted Sampling Strategies / Asymptotically Optimum Sampling Strategies / Robust Strategies / Design-Based Conditional Approach / The Design-Based Calibration Approach / Model Based Calibration Approach / Empirical Likelihood Approach / References / Author Index / Subject Index

Audience: Postgraduate Students in Statistics

2007 268pp 185 x 240 720g Hb ISBN: 978-1-84265-374-6 £ 39.95 / US$ 79.95

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ISBN Authors Title Pub_Yr Binding GBP USD

978-81-7319-488-7 J.C. Misra Industrial Mathematics and Statistics 2003 HB 95.00 152.00

978-81-7319-493-1 J.C. Misra Mathematical Models for Bioengineering and 2005 HB 85.00 170.00Probabilistic Systems

978-81-7319-220-3 P. Mukhopadhyay Small Area Estimation in Survey Sampling 1998 HB 45.00 89.95

978-81-7319-559-4 S.K. Srinivasan et al. Stochastic Point Processes 2003 HB 65.00 125.00

978-81-7319-517-4 J.C. Parikh Stochastic Processes and Financial Markets 2003 HB 38.00 75.00

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