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Beyond multiple linear regression : applied generalized linear models and multilevel models in R /

Beyond multiple linear regression : applied generalized linear models and multilevel models in R /
Catalogue Information
Field name Details
Autore Roback, Paul autore
Titolo Beyond multiple linear regression : applied generalized linear models and multilevel models in R / Paul Roback, Julie Legler. Libro
Edizione First edition
Pubblicazione Boca Raton : CRC Press, Taylor & Francis Group, [2021]
©2021
Descrizione fisica xvii, 418 pagine : illustrazioni ; 24 cm
Serie Texts in statistical science
Nota bibliografica Bibliografia: pagine 409-415
Contenuto 1. Review of multiple linear regression -- 2. Beyond least squares: using likelihoods -- 3. Distribution theory -- 4. Poisson regression -- 5. Generalized linear models: a unifying theory -- 6. Logistic regression -- 7. Correlated data -- 8. Introduction to multilevel models -- 9. Two-level longitudinal data -- 10. Multilevel data with more than two levels -- 11. Multilevel generalized linear models
Riassunto Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, Beyond Multiple Linear Regression still introduces fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. Thecase studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling--Quarta di copertina
Soggetto Regressione -- Analisi
Modelli lineari (statistica)
Scienze sociali -- Metodi statistici
Altri Autori Legler, Julie autore
Serie Texts in statistical science
Nuova Numerazione 448447
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Barcode Shelf Location Collection Volume Ref. Branch Status Due Date Res. Issue
10671776 SL-36-C-199
Statistica matematica informatica fisica   Sala lettura 2 piano . . Not for Loan .  
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. Catalogue Record 448447 ItemInfo Beginning of record . Catalogue Record 448447 ItemInfo Top of page .
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