Linear mixed models practical (23 risultati)

Hardback. Condizione: Good. Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues to lead readers step by step through the process of fitting LMMs. This second edition covers additional topics on the application of LMMs that are valuable for data analysts in all fields. It also updates the case studies using the latest versions of the software procedures and provides up-to-date information on the options and features of the software procedures available for fitting LMMs in SAS, SPSS, Stata, R/S-plus, and HLM.New to the Second Edition A new chapter on models with crossed random effects that uses a case study to illustrate software procedures capable of fitting these models Power analysis methods for longitudinal and clustered study designs, including software options for power analyses and suggested approaches to writing simulationsUse of the lmer() function in the lme4 R package New sections on fitting LMMs to complex sample survey data and Bayesian approaches to making inferences based on LMMsUpdated graphical procedures in the software packagesSubstantially revised index to enable more efficient reading and easier location of material on selected topics or software optionsMore practical recommendations on using the software for analysisA new R package (WWGbook) that contains all of the data sets used in the examplesIdeal for anyone who uses software for statistical modeling, this book eliminates the need to read multiple software-specific texts by covering the most popular software programs for fitting LMMs in one handy guide. The authors illustrate the models and methods through real-world examples that enable comparisons of model-fitting options and results across the software procedures.…

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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 353 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 353 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

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Condizione: New. 2022. 3rd Edition. Hardcover. . . . . .

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Hardcover. Condizione: Brand New. 3rd edition. 520 pages. 10.00x7.00x1.34 inches. In Stock.

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Hardcover. Condizione: gut. 2006. Linear Mixed Models: A Practical Guide Using Statistical Software In englischer Sprache. pages.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Highly recommended by JASA, Technometrics, and other leading statistical journals, the first two editions of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition continues to lead readers step-by-step through the process of fitting LMMs. The third edition provides a comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. All examples have been updated, with a focus on new tools for visualization of results and interpretation. New conceptual and theoretical developments in mixed-effects modeling have been included, and there is a new chapter on power analysis for mixed-effects models.Features:-Dedicates an entire chapter to the key theories underlying LMMs for clustered, longitudinal, and repeated measures data-Provides descriptions, explanations, and examples of software code necessary to fit LMMs in SAS, SPSS, R, Stata, and HLM-Contains detailed tables of estimates and results, allowing for easy comparisons across software procedures-Presents step-by-step analyses of real-world data sets that arise from a variety of research settings and study designs, including hypothesis testing, interpretation of results, and model diagnostics-Integrates software code in each chapter to compare the relative advantages and disadvantages of each package-Supplemented by a website with software code, datasets, additional documents, and updatesIdeal for anyone who uses software for statistical modeling, this book eliminates the need to read multiple software-specific texts by covering the most popular software programs for fitting LMMs in one handy guide. The authors illustrate the models and methods through real-world examples that enable comparisons of model-fitting options and results across the software procedures.…

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