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Can I read Understanding Regression Analysis : A Conditional Distribution Approach on EtoBox?
Understanding Regression Analysis : A Conditional Distribution Approach by Peter H Westfall; Andrea L Arias; Chapman and Hall (Londyn) is a nonfiction available to read on EtoBox.
What is Understanding Regression Analysis : A Conditional Distribution Approach about?
Understanding Regression Analysis unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks, and decision trees under a common umbrella -- namely, the conditional distribution model. It explains why the conditional distribution model is the correct model, and it also explains (proves) why the assumptions of the classical regression model are wrong . Unlike other regression books, this one from the outset takes a realistic approach that all models are just approximations. Hence, the emphasis is to model Nature’s processes realistically, rather than to assume (incorrectly) that Nature works in particular, constrained ways. Key features of the book include: Numerous worked examples using the R software Key points and self-study questions displayed "just-in-time" within chapters Simple mathematical explanations ("baby proofs") of key concepts Clear explanations and applications of statistical significance ( p -values), incorporating the American Statistical Association guidelines Use of "data-generating process" terminology rather than "population" Random- X
Who reads Understanding Regression Analysis : A Conditional Distribution Approach?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Peter H Westfall; Andrea L Arias; Chapman and Hall (Londyn)
- Publisher
- Chapman and Hall/CRC
- Published
- 2020
- Language
- EN
- ISBN
- 9781003025764
- Category
- nonfiction
- Subjects
- Mathematics, Business
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