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Regression & Linear Modeling

Regression & Linear Modeling : Best Practices and Modern Methods. 回帰と線形モデリング

・ISBN 978-1-5063-0276-8 hard GB£ 147.00

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お気に入り
著者・編者Osborne, Jason W.,
出版社(Sage, UK)
出版年月2017
ページ数480 pp.
言語ENG
ニュース番号<632-308 632-P622>

解説

In a conversational tone, Regression & Linear Modeling provides conceptual, user-friendly coverage of the generalized linear model (GLM). Readers will become familiar with applications of ordinary least squares (OLS) regression, binary and multinomial logistic regression, ordinal regression, Poisson regression, and loglinear models. The author returns to certain themes throughout the text, such as testing assumptions, examining data quality, and, where appropriate, nonlinear and non-additive effects modeled within different types of linear models.