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  • Ký hiệu PL/XG: 519.536 J761
    Nhan đề: Bayesian and frequentist regression methods /
ISBN 9781441909244
DDC 519.536
Tác giả CN Wakefield, Jon
Nhan đề Bayesian and frequentist regression methods / Jon Wakefield
Thông tin xuất bản New York : Springer, 2013
Mô tả vật lý 700 p. ; cm.
Phụ chú Springer series in statistics
Tóm tắt Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place. The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines. While the philosophy behind each approach is discussed, the book is not ideological in nature and an emphasis is placed on practical application. It is shown that, in many situations, careful application of the respective approaches can lead to broadly similar conclusions. To use this text, the reader requires a basic understanding of calculus and linear algebra, and introductory courses in probability and statistical theory. The book is based on the author's experience teaching a graduate sequence in regression methods. The book website contains all of the code to reproduce all of the analyses and figures contained in the boo
Thuật ngữ chủ đề Regression Analysis
Thuật ngữ chủ đề Bayesian statistical decision theory
Thuật ngữ chủ đề Regression analysis-Mathematical models
Khoa Khoa Cơ bản
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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500 |aSpringer series in statistics
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650 |aRegression analysis|vMathematical models
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