Jmp 10 Modeling And Multivariate Methods

Author : SAS Institute
Publisher : Unknown
Page : 0 pages
File Size : 40,5 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 : 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 : 46,9 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 Publishing
Publisher : Unknown
Page : 0 pages
File Size : 49,5 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 : Ruth Hummel,Elizabeth A. Claassen,Russell D. Wolfinger
Publisher : SAS Institute
Page : 380 pages
File Size : 40,5 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 : Ron Klimberg,B. D. McCullough
Publisher : SAS Institute
Page : 532 pages
File Size : 44,6 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 : 48,5 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 : Ian Cox,Marie Gaudard
Publisher : SAS Institute
Page : 308 pages
File Size : 43,8 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 : John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring
Publisher : SAS Institute
Page : 660 pages
File Size : 45,6 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 : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 51,7 Mb
Release : 2017
Category : JMP (Computer file)
ISBN : 1629609536

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JMP Version 13 Fitting Linear Models by Anonim Pdf

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 53,6 Mb
Release : 2017
Category : JMP (Computer file)
ISBN : 1629609587

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JMP Version 13 Multivariate Methods by Anonim Pdf

Author : Sas Institute
Publisher : SAS Institute
Page : 318 pages
File Size : 41,8 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 : Sas Institute
Publisher : Unknown
Page : 0 pages
File Size : 48,6 Mb
Release : 2017
Category : Information visualization
ISBN : OCLC:1021815185

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JMP 13 Multivariate Methods, Second Edition by Sas Institute Pdf

Describing techniques for analyzing several variables simultaneously, this book covers descriptive measures, such as correlations and describes methods that give insight into the structure of the multivariate data. --

Author : Sas
Publisher : Unknown
Page : 0 pages
File Size : 55,7 Mb
Release : 2015-03
Category : Information visualization
ISBN : 162959458X

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Jmp 12 Multivariate Methods by Sas Pdf

JMP 12 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, principal components, discriminant analysis, and partial least squares.

Author : C.A. Brebbia,S. Boukalova
Publisher : WIT Press
Page : 141 pages
File Size : 47,7 Mb
Release : 2017-09-26
Category : Science
ISBN : 9781784662073

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River Basin Management IX by C.A. Brebbia,S. Boukalova Pdf

Forming the 9th volume from this successful international conference series, this book marks a growing global interest in the planning, design and management of river basin systems. The included papers take in to account all aspects of Hydrology, Ecology, Environmental Management, Flood Plains and Wetlands. In recent years, work on river restoration and rehabilitation has had various degrees of success. Changes in the landscape, use of the land and climate conditions lead to a continuous revaluation of river basin management objectives requiring the development of better measuring tools in conjunction with accurate computer technology. Floods and associated landslides, erosion and sedimentation can have serious effects on life and property and on the basin ecology. Man made changes in the river basin can also create significant problems. The following subject areas are covered in the publication: Water resources management; Flood risk management; Ecological and environmental impact; Erosion and sediment transport; Hydrological modelling; River restoration and rehabilitation; Hydropower issues and development; River and watershed management; Water quality issues; Organic contamination management; Agricultural pollution; Transboundary water issues; Estuaries and deltas; Climate change; Remote sensing; Hydraulic structures; Rain water management; Water energy nexus; Drought assessment and management; Ecosystem services.

Author : Ian Cox,Marie Gaudard
Publisher : SAS Institute
Page : 308 pages
File Size : 41,8 Mb
Release : 2013-10-01
Category : Computers
ISBN : 9781612908298

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

Partial Least Squares (PLS) is a flexible statistical modeling technique that applies to data of any shape. It models relationships between inputs and outputs even when there are more predictors than observations. Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores PLS and positions it within the more general context of multivariate analysis. Ian Cox and Marie Gaudard use a “learning through doing” style. This approach, coupled with the interactivity that JMP itself provides, allows you to actively engage with the content. Four complete case studies are presented, accompanied by data tables that are available for download. The detailed “how to” steps, together with the interpretation of the results, help to make this book unique. Discovering Partial Least Squares with JMP is of interest to professionals engaged in continuing development, as well as to students and instructors in a formal academic setting. The content aligns well with topics covered in introductory courses on: psychometrics, customer relationship management, market research, consumer research, environmental studies, and chemometrics. The book can also function as a supplement to courses in multivariate statistics and to courses on statistical methods in biology, ecology, chemistry, and genomics. While the book is helpful and instructive to those who are using JMP, a knowledge of JMP is not required, and little or no prior statistical knowledge is necessary. By working through the introductory chapters and the case studies, you gain a deeper understanding of PLS and learn how to use JMP to perform PLS analyses in real-world situations. 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. This book is part of the SAS Press program.