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Applied Logistic Regression (Wiley Series in Probability and Statistics: Texts and References Section) ハードカバー – 2000/9/15

英語版 David W. Hosmer (著), Stanley Lemeshow (著)

4.5 19個の評価

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Applied Logistic Regression (Wiley Series in Probability and Statistics)
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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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本の長さ

373ページ
言語

英語
出版社

Wiley-Interscience
発売日

2000/9/15
寸法

15.88 x 2.54 x 23.5 cm
ISBN-10

0471356328
ISBN-13

978-0471356325
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商品の説明

出版社からのコメント

Shows how to model a binary outcome variable from a linear regression analysis point of view. Develops the logistic regression model and describes its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariates. Following establishment of the model there is discussion of its interpretation. Several data sets are the source of the examples and the exercises, and a number of software packages are used to analyze data sets, including BMDP, EGRET, GLIM, SAS, and SYSTAT.

レビュー

"This well written, organized, comprehensive, and useful book will be appreciated by graduate students and researchers." ( Journal of Statistical Computation and Simulation, January 2006)

"...the revised text continues to provide a focused introduction to the logistic regression model and its use in methods for modelling..." (Short Book Reviews, Vol. 21, No. 2, August 2001)

"In this revised and updated edition of the popular test, the authors incorporate theoretical and computing advances from the last decade." (Journal of the American Statistical Association, September 2001)

"...an excellent book that balances many objectives well.... All statistical practitioners...can benefit from this book...Applied Logistic Regression is an ideal choice." (Technometrics, February 2002)

"...a focused introduction to the logistic regression model and its use in methods for modeling the relationship between a categorical outcome variable and a set of covariates." (Zentralblatt MATH, Vol. 967, 2001/17)

"...it remains an extremely valuable text for everyone working or teaching in fields like epidemiology..." (Statistics in Medicine, No.21, 2002)

"...The book is a classic, extremely well written, and it includes a variety of software packages and real examples...." (The Statistician, Vol. 51, No.2, 2002)

"This well written, organized, comprehensive, and useful book will be appreciated by graduate students and researchers." ( Journal of Statistical Computation and Simulation, January 2006)

"...the revised text continues to provide a focused introduction to the logistic regression model and its use in methods for modelling..." (Short Book Reviews, Vol. 21, No. 2, August 2001)

"In this revised and updated edition of the popular test, the authors incorporate theoretical and computing advances from the last decade." (Journal of the American Statistical Association, September 2001)

"...an excellent book that balances many objectives well.... All statistical practitioners...can benefit from this book...Applied Logistic Regression is an ideal choice." (Technometrics, February 2002)

"...it remains an extremely valuable text for everyone working or teaching in fields like epidemiology..." (Statistics in Medicine, No.21, 2002)

"...The book is a classic, extremely well written, and it includes a variety of software packages and real examples...." (The Statistician, Vol. 51, No.2, 2002)

登録情報

出版社 ‏ : ‎ Wiley-Interscience; Subsequent版 (2000/9/15)
発売日 ‏ : ‎ 2000/9/15
言語 ‏ : ‎ 英語
ハードカバー ‏ : ‎ 373ページ
ISBN-10 ‏ : ‎ 0471356328
ISBN-13 ‏ : ‎ 978-0471356325
寸法 ‏ : ‎ 15.88 x 2.54 x 23.5 cm

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4.5 19個の評価

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Mr. Dcm Caillet

hello

2014年4月9日に英国でレビュー済み

Amazonで購入

on time and in the condition described
I have had many hours of pleasure with this buy.
I am very happy
many thanks

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Ken

Logistic, but not a nightmare... Great Book

2012年12月12日にアメリカ合衆国でレビュー済み

Amazonで購入

This book was purchased out of PURE necessity where I was acting a the sole biostatistician very early in my career... it truly was a balance of logistics.... The HL series for both Survival and Logistic give great examples that anyone with a basic background in statistics can understand. Keep in mind that this is more theoretical and that if you are just getting started with Survival or Logistic models you are better off with the Paul Allison series.

2人のお客様がこれが役に立ったと考えています

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Consultant data mining

tres bien

2012年8月25日にフランスでレビュー済み

Amazonで購入

Ouvrage monotechnique tres bien écrit, la difficulté progresse régulierement, il fait partie des ouvrages que l'on peut directement mettre en pratique
Lecture conseillée pour les praticiens du scoring

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Amazon Customer

Four Stars

2015年12月14日に英国でレビュー済み

Amazonで購入

Great book. Not for beginners, but very detailed description of logistic regression methods.

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B.Poonawalla

Bible for Logistics Regression

2011年7月3日にアメリカ合衆国でレビュー済み

Amazonで購入

Great book for anyone taking biostatistics as a major or minor. It's a handy tool for any statistician and the book provides the necessary information along with in depth coverage all the necessary topics. A classic in its own right.

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