JMP 13 FITTING LINEAR MODELS

JMP 13 FITTING LINEAR MODELS

Author: Sas Institute

Publisher: SAS Institute

Published: 2016-09-09

Total Pages: 534

ISBN-13: 9781629604756

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JMP 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 2

JMP 13 FITTING LINEAR MODELS 2

Author: Sas

Publisher: SAS Institute

Published: 2017-02-21

Total Pages: 528

ISBN-13: 9781629609553

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JMP 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

JMP 13 Fitting Linear Models, Second Edition, 2nd Edition

Author: SAS Institute

Publisher:

Published: 2017

Total Pages: 0

ISBN-13:

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JMP 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 14 Fitting Linear Models

Jmp 14 Fitting Linear Models

Author: Sas Institute

Publisher: SAS Institute

Published: 2018-03-20

Total Pages: 574

ISBN-13: 9781635265095

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JMP 14 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

Building Better Models with JMP Pro

Author: Jim Grayson

Publisher: SAS Institute

Published: 2015-08-01

Total Pages: 358

ISBN-13: 1629599565

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Building 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.


JMP 11 Fitting Linear Models

JMP 11 Fitting Linear Models

Author: SAS Institute

Publisher:

Published: 2013

Total Pages: 0

ISBN-13: 9781612906690

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JMP 11 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.


Linear Regression Analysis with JMP and R

Linear Regression Analysis with JMP and R

Author: Rachel T. Silvestrini

Publisher: Quality Press

Published: 2018-04-26

Total Pages: 468

ISBN-13: 0873899695

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This 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 12 Fitting Linear Models

Jmp 12 Fitting Linear Models

Author: Sas Institute

Publisher: Sas Inst

Published: 2015-03-01

Total Pages: 504

ISBN-13: 9781629594507

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JMP 12 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.