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Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Applied logistic regression (Wiley Series in probability and statistics)
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David W. Hosmer 作者
Wiley-Interscience Publication
譯者
2000-09-15 出版日期
392 頁數
USD 125.00 價格
Hardcover
Wiley Series in Probability and Statistics 叢書系列
9780471356325 圖書編碼

Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 圖書標籤: 專業相關  statistics   

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Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 用戶評價

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Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 著者簡介

Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 著者簡介

Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Applied logistic regression (Wiley Series in probability and statistics) 在線電子書 圖書描述

From the reviews of the First Edition.

"An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."

—Choice

"Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent."

—Contemporary Sociology

"An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."

—The Statistician

In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.

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