Apraksts

AUTORS Roback, Paul
NOSAUKUMS Beyond Multiple Linear Regression : Applied Generalized Linear Models and Multilevel Models in R / Julie Legler.
APJOMS 418 p.
CITI AUTORI Legler, Julie
ISBN 9781439885383
UDK INDEKSS 311

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Fonds Adrese Skaits Plaukts Pieejamība
Monetārās politikas pārvalde 07 1 311 Plauktā Var pasūtīt

Anotācija


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, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case 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.

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