Understanding Regression Analysis: A Conditional Distribution Approach

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 framework is assumed throughout (the fixed-X case is presented as a special case of the random-X case)

    • Clear explanations of probabilistic modelling, including likelihood-based methods

    • Use of simulations throughout to explain concepts and to perform data analyses

    This book has a strong orientation towards science in general, as well as chapter-review and self-study questions, so it can be used as a textbook for research-oriented students in the social, biological and medical, and physical and engineering sciences. As well, its mathematical emphasis makes it ideal for a text in mathematics and statistics courses. With its numerous worked examples, it is also ideally suited to be a reference book for all scientists.

    Procurando Understanding Regression Analysis: A Conditional Distribution Approach? Aqui você encontra tudo sobre este livro de Peter H. Westfall em 6 de maio de 2022. Nesta página estão a descrição da obra, os detalhes da edição (514 páginas) e os formatos disponíveis para baixar: epub, pdf, lit, odf. O livro está escrito em Inglês. Se você gosta de Livros Internacionais, Ciências Tecnológicas, Matemática, Aplicada, Probabilidade e Estatística, explore também outros títulos da mesma categoria no Leitura em português. Veja ainda as outras obras de Peter H. Westfall em nosso catálogo.

    Número de páginas:514
    Isbn 10:0367493519
    Isbn 13:9780367493516
    Encadernação Understanding Regression Analysis: A Conditional Distribution Approach:Capa Comum
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