Jmp 9 Modeling And Multivariate Methods

Author : SAS Publishing
Publisher : Unknown
Page : 0 pages
File Size : 55,8 Mb
Release : 2010
Category : Computer graphics
ISBN : 1607645955

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JMP 9 Modeling and Multivariate Methods by SAS Publishing Pdf

JMP 9 Modeling and Multivariate Methods documents the JMP 9 statistical platforms, provides an overview of statistical methods, and describes many JMP 9 report windows and options. This book covers model fitting, standard least squares, generalized linear models, stepwise and logistic regression, nonlinear regression, multiple response fitting, analyzing screening designs, correlations and multivariate techniques, principal components, clustering, partial least squares, neural nets, categorical response analysis, choice modeling, discriminant analysis, recursive partitioning, time series analysis, Gaussian processes, item response theory, and more. Also included are instructions for using surface plots, profilers, and more.

Author : SAS Institute
Publisher : Unknown
Page : 0 pages
File Size : 40,6 Mb
Release : 2012
Category : Computer graphics
ISBN : 1612901980

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JMP 10 Modeling and Multivariate Methods by SAS Institute Pdf

JMP 10 Modeling and Multivariate Methods begins by showing you how to take advantage of classic modeling techniques such as linear, nonlinear, and mixed models. The book continues with discussions on neural networking, time series analysis, multivariate techniques, and stepwise regression along with many other JMP modeling and multivariate methods. Examples guide you through each analysis, and statistical references and algorithms are included.

Author : Ian Cox,Marie Gaudard
Publisher : SAS Institute
Page : 308 pages
File Size : 43,6 Mb
Release : 2013-10
Category : Computers
ISBN : 9781629590929

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Discovering Partial Least Squares with JMP by Ian Cox,Marie Gaudard Pdf

Using 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.

Author : Ruth Hummel,Elizabeth A. Claassen,Russell D. Wolfinger
Publisher : SAS Institute
Page : 380 pages
File Size : 51,9 Mb
Release : 2021-06-09
Category : Computers
ISBN : 9781952363856

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JMP for Mixed Models by Ruth Hummel,Elizabeth A. Claassen,Russell D. Wolfinger Pdf

Discover the power of mixed models with JMP and JMP Pro. Mixed models are now the mainstream method of choice for analyzing experimental data. Why? They are arguably the most straightforward and powerful way to handle correlated observations in designed experiments. Reaching well beyond standard linear models, mixed models enable you to make accurate and precise inferences about your experiments and to gain deeper understanding of sources of signal and noise in the system under study. Well-formed fixed and random effects generalize well and help you make the best data-driven decisions. JMP for Mixed Models brings together two of the strongest traditions in SAS software: mixed models and JMP. JMP’s groundbreaking philosophy of tight integration of statistics with dynamic graphics is an ideal milieu within which to learn and apply mixed models, also known as hierarchical linear or multilevel models. If you are a scientist or engineer, the methods described herein can revolutionize how you analyze experimental data without the need to write code. Inside you’ll find a rich collection of examples and a step-by-step approach to mixed model mastery. Topics include: Learning how to appropriately recognize, set up, and interpret fixed and random effects Extending analysis of variance (ANOVA) and linear regression to numerous mixed model designs Understanding how degrees of freedom work using Skeleton ANOVA Analyzing randomized block, split-plot, longitudinal, and repeated measures designs Introducing more advanced methods such as spatial covariance and generalized linear mixed models Simulating mixed models to assess power and other important sampling characteristics Providing a solid framework for understanding statistical modeling in general Improving perspective on modern dilemmas around Bayesian methods, p-values, and causal inference

Author : Ann Lehman,Norm O'Rourke,Larry Hatcher,Edward Stepanski
Publisher : SAS Institute
Page : 559 pages
File Size : 50,5 Mb
Release : 2013
Category : Computers
ISBN : 9781612906034

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JMP for Basic Univariate and Multivariate Statistics by Ann Lehman,Norm O'Rourke,Larry Hatcher,Edward Stepanski Pdf

Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition. Updated for JMP 10 and including new features on the statistical platforms, this book offers clearly written instructions to guide you through the basic concepts of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll discover how to obtain descriptive and inferential statistics, summarize results clearly in a way that is suitable for publication, perform a wide range of JMP analyses, interpret the results, and more. Topics include screening data for errors selecting subsets computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale performing bivariate analyses for all types of variables performing a one-way analysis of variance (ANOVA), multiple regression, and a one-way multivariate analysis of variance (MANOVA) Advanced topics include analyzing models with interactions and repeated measures. There is also comprehensive coverage of principle components with emphasis on graphical interpretation. This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.

Author : Ron Klimberg,B. D. McCullough
Publisher : SAS Institute
Page : 532 pages
File Size : 50,5 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781629608013

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Fundamentals of Predictive Analytics with JMP, Second Edition by Ron Klimberg,B. D. McCullough Pdf

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP(R) bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. First, this book teaches you to recognize when it is appropriate to use a tool, what variables and data are required, and what the results might be. Second, it teaches you how to interpret the results and then, step-by-step, how and where to perform and evaluate the analysis in JMP . Using JMP 13 and JMP 13 Pro, this book offers the following new and enhanced features in an example-driven format: an add-in for Microsoft Excel Graph Builder dirty data visualization regression ANOVA logistic regression principal component analysis LASSO elastic net cluster analysis decision trees k-nearest neighbors neural networks bootstrap forests boosted trees text mining association rules model comparison With today’s emphasis on business intelligence, business analytics, and predictive analytics, this second edition is invaluable to anyone who needs to expand his or her knowledge of statistics and to apply real-world, problem-solving analysis. This book is part of the SAS Press program.

Author : Trevor Bihl
Publisher : SAS Institute
Page : 356 pages
File Size : 42,8 Mb
Release : 2017-10-03
Category : Computers
ISBN : 9781635262414

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Biostatistics Using JMP by Trevor Bihl Pdf

Analyze 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.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 47,8 Mb
Release : 2016
Category : JMP (Computer file)
ISBN : 1629605743

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JMP Version 13 Fitting Linear Models by Anonim Pdf

Author : Ann Lehman, PhD,Norm O'Rourke, Ph.D., R.Psych.,Larry Hatcher, Ph.D.,Edward J. Stepanski, Ph.D.
Publisher : SAS Institute
Page : 558 pages
File Size : 41,8 Mb
Release : 2013-04-16
Category : Computers
ISBN : 9781629590530

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JMP for Basic Univariate and Multivariate Statistics by Ann Lehman, PhD,Norm O'Rourke, Ph.D., R.Psych.,Larry Hatcher, Ph.D.,Edward J. Stepanski, Ph.D. Pdf

Updated for JMP 10, the 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. Features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises.

Author : Sas Institute
Publisher : SAS Institute
Page : 318 pages
File Size : 44,8 Mb
Release : 2018-03-20
Category : Computers
ISBN : 1635265177

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Jmp 14 Multivariate Methods by Sas Institute Pdf

JMP 14 Multivariate Methods describes techniques for analyzing several variables simultaneously. The book covers descriptive measures, such as correlations. It also describes methods that give insight into the structure of the multivariate data, such as clustering, latent class analysis, principal components, discriminant analysis, and partial least squares.

Author : Miklas Scholz
Publisher : Elsevier
Page : 352 pages
File Size : 49,7 Mb
Release : 2018-08-28
Category : Technology & Engineering
ISBN : 9780128162477

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Sustainable Water Treatment by Miklas Scholz Pdf

Sustainable Water Treatment: Engineering Solutions for a Variable Climate covers sustainable water and environmental engineering aspects relevant for the drainage and treatment of storm water and wastewater. The book explains the fundamental science and engineering principles for the student and professional market. Standard and novel design recommendations for sustainable technologies, such as constructed wetlands, sustainable drainage systems and sustainable flood retention basins are provided to account for the interests of professional engineers and environmental scientists. The book presents the latest research findings in wastewater treatment and runoff control that are ideal for academics and senior consultants. The book offers a challenging, diverse, holistic, multidisciplinary, experimental and modelling-orientated case study, covering topics such as natural wetlands, constructed treatment wetlands for pollution control, sustainable drainage systems managing diffuse pollution, specific applications, such as wetlands treating dye wastewater and ecological sanitation systems recycling treated waters for the irrigation of crops. Explains the fundamental science and engineering principles behind each topic Provides an easy-to-understand, descriptive overview of complex ‘black box’ drainage and treatment systems and general design issues involved Includes a comprehensive analysis of asset performance, modelling of treatment processes, and an assessment of sustainability and economics

Author : Jim Grayson,Sam Gardner,Mia Stephens
Publisher : SAS Institute
Page : 358 pages
File Size : 48,6 Mb
Release : 2015-08-01
Category : Computers
ISBN : 9781629599564

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Building Better Models with JMP Pro by Jim Grayson,Sam Gardner,Mia Stephens Pdf

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.

Author : John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring
Publisher : SAS Institute
Page : 660 pages
File Size : 54,9 Mb
Release : 2017-02-21
Category : Computers
ISBN : 9781629608761

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JMP Start Statistics by John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring Pdf

This 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.

Author : SAS Institute
Publisher : Unknown
Page : 0 pages
File Size : 54,5 Mb
Release : 2013
Category : Computer graphics
ISBN : 1612906699

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JMP 11 Fitting Linear Models by SAS Institute Pdf

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.

Author : SAS
Publisher : SAS Institute
Page : 0 pages
File Size : 49,5 Mb
Release : 2017-02-21
Category : Computers
ISBN : 1629609595

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JMP 13 Multivariate Methods, Second Edition by SAS Pdf

JMP 13 Multivariate Methods describes techniques for analyzing several variables simultaneously. The book covers descriptive measures, such as correlations. It also describes methods that give insight into the structure of the multivariate data, such as clustering, latent class analysis, principal components, discriminant analysis, and partial least squares.