JMP Version 13 Fitting Linear Models
Author:
Publisher:
Published: 2017
Total Pages:
ISBN-13: 9781629609539
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JMP 13 FITTING LINEAR MODELS
Author: Sas Institute
Publisher: SAS Institute
Published: 2016-09-09
Total Pages: 534
ISBN-13: 9781629604756
DOWNLOAD EBOOKJMP 13 Fitting Linear Models focuses on the Fit Model platform and many of its personalities. Linear and logistic regression, analysis of variance and covariance, and stepwise procedures are covered. Also included are multivariate analysis of variance, mixed models, generalized models, and models based on penalized regression techniques.
JMP 13 Fitting Linear Models, Second Edition
Author: SAS
Publisher: SAS Institute
Published: 2017-02-21
Total Pages: 528
ISBN-13: 9781629609522
DOWNLOAD EBOOKJMP 13 Fitting Linear Models focuses on the Fit Model platform and many of its personalities. Linear and logistic regression, analysis of variance and covariance, and stepwise procedures are covered. Also included are multivariate analysis of variance, mixed models, generalized models, and models based on penalized regression techniques.
JMP 13 Fitting Linear Models, Second Edition, 2nd Edition
Author: SAS Institute
Publisher:
Published: 2017
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKJMP 13 Fitting Linear Models focuses on the Fit Model platform and many of its personalities. Linear and logistic regression, analysis of variance and covariance, and stepwise procedures are covered. Also included are multivariate analysis of variance, mixed models, generalized models, and models based on penalized regression techniques.
Building Better Models with JMP Pro
Author: Jim Grayson
Publisher: SAS Institute
Published: 2015-08-01
Total Pages: 358
ISBN-13: 1629599565
DOWNLOAD EBOOKBuilding Better Models with JMP® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. In addition, this book will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used. Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. Full of rich examples, Building Better Models with JMP Pro is an applied book on business analytics and modeling that introduces a simple methodology for managing and executing analytics projects. No prior experience with JMP is needed. Make more informed decisions from your data using this newest JMP book.
Fundamentals of Predictive Analytics with JMP, Second Edition
Author: Ron Klimberg
Publisher: SAS Institute
Published: 2017-12-19
Total Pages: 406
ISBN-13: 1629608033
DOWNLOAD EBOOKGoing beyond the theoretical foundation, this step-by-step book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. --
Discovering Partial Least Squares with JMP
Author: Ian Cox
Publisher: SAS Institute
Published: 2013-10
Total Pages: 308
ISBN-13: 1629590924
DOWNLOAD EBOOKUsing JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores Partial Least Squares and positions it within the more general context of multivariate analysis. This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey.
Linear Regression Analysis with JMP and R
Author: Rachel T. Silvestrini
Publisher: Quality Press
Published: 2018-04-26
Total Pages: 468
ISBN-13: 0873899695
DOWNLOAD EBOOKThis comprehensive but low-cost textbook is intended for use in an undergraduate level regression course, as well as for use by practitioners. The authors have included some statistical details throughout the book but focus on interpreting results for real applications of regression analysis. Chapters are devoted to data collection and cleaning; data visualization; model fitting and inference; model prediction and inference; model diagnostics; remedial measures; model selection techniques; model validation; and a case study demonstrating the techniques outlined throughout the book. The examples throughout each chapter are illustrated using the software packages R and JMP. At the end of each chapter, there is a tutorial section demonstrating the use of both R and JMP. The R tutorial contains source code and the JMP tutorial contains a step by step guide. Each chapter also includes exercises for further study and learning.
JMP Start Statistics
Author: John Sall
Publisher: SAS Institute
Published: 2017-02-21
Total Pages: 660
ISBN-13: 1629608769
DOWNLOAD EBOOKThis book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Updated for JMP 13, JMP Start Statistics, Sixth Edition includes many new features, including: The redesigned Formula Editor. New and improved ways to create formulas in JMP directly from the data table or dialogs. Interface updates, including improved menu layout. Updates and enhancements in many analysis platforms. New ways to get data into JMP and to save and share JMP results. Many new features that make it easier to use JMP.
Biostatistics Using JMP
Author: Trevor Bihl
Publisher: SAS Institute
Published: 2017-10-03
Total Pages: 356
ISBN-13: 1635262410
DOWNLOAD EBOOKAnalyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data. The first biostatistical book to focus on software, Biostatistics Using JMP discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis. Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, Biostatistics Using JMP provides a practical approach to using JMP to solve your biostatistical problems.
