Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
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

Roback, Paul
Legler, Julie

Hardcover

Series: Chapman & Hall/CRC Texts in Statistical Science

ApplicationsGeneral MathematicsProbability & Statistics

ISBN10: 1439885389
ISBN13: 9781439885383
Publisher: CRC Press
Published: Dec 29 2020
Pages: 418
Weight: 1.73
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English

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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