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JMP for Mixed Models

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JMP for Mixed Models

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Building Better Models with JMP Pro

in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP(r) Pro for building and applying analytic;

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JMP Means Business

JMP Means Business: Statistical Models for Management, by Josef Schmee and Jane Oppenlander, covers basic methods and models of classical;

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Market Data Analysis Using JMP

With the powerful interactive and visual functionality of JMP, you can dynamically analyze market data to transform it into actionable and;

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Asymptotic Analysis of Mixed Effects Models

is suitable for researchers and graduate students who wish to learn about asymptotic tools and research problems in mixed effects models. It may also;

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Asymptotic Analysis of Mixed Effects Models

is suitable for researchers and graduate students who wish to learn about asymptotic tools and research problems in mixed effects models. It may also;

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JMP for Basic Univariate and Multivariate Statistics

with JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition. Updated for JMP 10;

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JMP Start Statistics

intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step;

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Mixed Effects Models for Complex Data

studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate;

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Mixed Effects Models for Complex Data

studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate;

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Linear and Generalized Linear Mixed Models and Their Applications

who are interested in using mixed models for statistical data analysis.;

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Linear and Generalized Linear Mixed Models and Their Applications

who are interested in using mixed models for statistical data analysis.;

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SAS for Mixed Models, Second Edition

The indispensable, up-to-date guide to mixed models using SAS®. Discover the latest capabilities available for a variety of applications;

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Fundamentals of Predictive Analytics with JMP, Second Edition

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions;

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Fundamentals of Predictive Analytics with JMP, Second Edition

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions;

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Statistical Tests for Mixed Linear Models

treatment for these models at an advanced level. Statistical Tests for Mixed Linear Models:* Combines analysis and testing in one self-contained;

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Business Statistics for Competitive Advantage with Excel 2019 and JMP

The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to;

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Robust Mixed Model Analysis

of methods currently available that are robust in certain aspects. Learning about these methods is essential for the practice of mixed-effects;

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JMP Connections

half of the book shows you what JMP can do for you. You'll discover how to wring every last drop of insight out of your data, and let JMP parse;

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Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition

mixed because they allow fixed and random effects, and they are generalized because they are appropriate for continuous Gaussian responses as;

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Generalized, Linear, and Mixed Models

style and wealth of illustrative exercises, Generalized, Linear, and Mixed Models , Second Edition is an ideal book for courses on generalized;

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Multivariate, Multilinear and Mixed Linear Models

This book presents the latest findings on statistical inference in multivariate, multilinear and mixed linear models, providing a holistic;

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Handbook of Mixed Membership Models and Their Applications

factor analysis, and describe nonparametric mixed membership models. They also present extensions of the mixed membership model for text analysis;

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Handbook of Mixed Membership Models and Their Applications

factor analysis, and describe nonparametric mixed membership models. They also present extensions of the mixed membership model for text analysis;

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Multilevel and Longitudinal Modeling Using Stata, Volume I

extensions of a linear regression model. The mixed-model foundation and the in-depth coverage of the mixed-model principles provided in volume I for;

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SAS for Mixed Models

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