Jmp(joint monitoring programme) software

Binary Semmantics Ltd.

BINARY SEMANTICS LTD

BINARY SEMANTICS Ltd. we are a client centric global software development

company providing software development, research, web development, IT outsourcing services along with optimization and mathematical modeling solutions and consulting services for your mission-critical business challenges. We have global operations across USA, Canada, Europe and India and have over 125 satisfied customers.

We have very strong software engineering processes and our operations have been certified as ISO 9001 and Q9001:2000 by American Quality Assessor (AQA) for software development and supporting activities.


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Data Mining TIBCO Spotfire Miner SAS Statistical Modelling Tibco Spotfire Splus SAS JMP Risk Analysis &

Simulation Oracle Crystal BallOptmization LINDO API LINGO What’s Best


List of Solutions for Data Analysis

Econometrics•EViews•LIMDEP•NLOGIT

Quality – Six Sigma & CMMI•SigmaXL•Pareto Pro•JMP


JMPData visualization and deep analytics for

the desktop – software that now reaches out to users of Microsoft Excel, R and advanced data mining and modeling techniques.


JMP Product Range

JMPJMP ProJMP ClinicalJMP Genomics

http://www.jmp.com/software/jmp9/


Key FeaturesVisualComprehensiveExtendibleInteractive


JMP Add-ins

JMP 9 introduces an add-in architecture that makes creating and distributing extensions to JMP easy. This makes JMP a platform for creating new analytic tools. It also makes it easy to add functionality that we haven’t thought of or didn’t have cycles to create


Who should use JMP® 9?

Anyone who’s curious to find the stories hidden in data. Anyone who wants to explore data and communicate discoveries to others. Anyone who understands the value of experimentation and modeling to create better products and processes. Across any organization, scientists, statisticians and business analysts alike will uncover answers that spreadsheets and databases with limited analytical horsepower cannot provide.


Why is JMP® 9 important?

JMP 9 brings data visualization and deep analytics to desktops around the world. Interactive and easy to use, JMP 9 makes data exploration and discoveries visual, informs decision making, and helps you communicate your findings to others. With this cutting-edge release, JMP 9 becomes the analytic hub for building and sharing custom applications that leverage JMP’s dynamic graphics and your other favorite tools. JMP 9 comes from SAS, the leader in business analytics and services that give organizations worldwide THE POWER TO KNOW®.


New Platforms

The new Degradation platform lets you analyze product deterioration data over time to help you predict product quality and warranty risk.

The new Neural platform replaces the Neural Net platform and adds enhancements such as richer diagnostics, including several measures of fit and diagnostic plots. With JMP Pro, choose which data to use for cross-validation.* Also in JMP Pro, get automated handling of missing data and automated transformation of input variables.

Microsoft Excel Add-InUse the JMP Profiler to visualize models contained in Excel

spreadsheets.Optimize and simulate using your Excel spreadsheets.Use the add-in toolbar to copy data from Excel into JMP directly

JMP® 9 Key Features


Interface to R Interact with R using JMP Scripting Language (JSL).Submit statements to R from within a JSL script.Exchange data between JMP and R.Display graphics produced by R.

Graph Builder Incorporate geographic maps into graphs..Work with subsets of large data tables using the new

Sampling function.See the shape of your data using density contours.Plot error bars and confidence intervals.A new drop zone under the Group Y area supports a

Frequency (or Weight) variable.


New Windows EnvironmentUser interface for Microsoft Windows has been completely

revamped.All windows are now independent of one another, so it’s easier to

use JMP on multiple monitors.The Home window lists JMP files opened recently and all open JMP

windows.

PartitionUse bootstrap forests* to help ensure your predictions will

generalize well.Employ boosted trees* to increase the accuracy of your predictions.Use a cross-validation column* to easily compare different model

types and make sure that predictions generalize well.




Import Data Comma-separated (.csv) .dat files that consist of text ESRI shapefiles (.shp) Flow Cytometry versions 2.0 and 3.0 (.fcs) HTML (.htm, .html) Microsoft Excel 1997-2003 (.xls) Minitab (.mtw, .mtp, but not .mpj) Plain text (.txt) SAS transport (.xpt, .stx) SAS versions 6-9 on Macintosh

(.sas7bdat, .ssd, .ssd01, .saseb$data) SAS versions 6-9 on Windows (.sd2, .sd5, .sd7, .sas7bdat) SPSS files (.sav) Tab-separated (.tsv) Require ODBC drivers: Database (dBASE) (.dbf, .ndx, .mdx) is supported with a V3+

compliant ODBC driver.














All platforms produce results that are interactive.

• Reports can be shown or hidden.• Additional graphs and statistical details can

be added or removed to suit your purposes.• Platform results are connected to the data

table and to each other.



You can move data into JMP by copying and pasting from another application, such as Excel or a text file

You can move data into JMP by importing data from another application, such as Excel, SAS, or text files


Thanks for your Precious Time.

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