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Wiley Series in Probability and Statistics Ser.: Statistical Analysis of...
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A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Item specifics
- Condition
- ISBN
- 9780471290087
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471290084
ISBN-13
9780471290087
eBay Product ID (ePID)
1075470
Product Key Features
Number of Pages
488 Pages
Publication Name
Statistical Analysis of Categorical Data
Language
English
Subject
Probability & Statistics / General, Probability & Statistics / Multivariate Analysis
Publication Year
1999
Type
Textbook
Subject Area
Mathematics
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
28 Oz
Item Length
9.5 in
Item Width
6.2 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
98-039058
Reviews
"In conclusion, were I to teach a course in categorical data analysis, I would select this textbook...I compliment the author on his work. I feel that he has succeeded in meeting his goals." (Technometrics Vol. 42, No. 3 August 2000) The problems at the end of the chapters are appropriate for a course at this level and involve examples that will give the student a feel for the material, and there are also examples with which to work through the mathematics. (Technometrics, August 2000, Vol. 42, No. 3)
Dewey Edition
21
Series Volume Number
346
Illustrated
Yes
Dewey Decimal
519.5/35
Table Of Content
The Tools of Statistical Inference. Distribution Theory for Count Data. Binary Contingency Tables. Binomial Regression Models. Smoothing Binomial Data. Poisson Regression Models. Conditional Inference. Index.
Synopsis
In this volume, influential statistician Christopher Lloyd presents a comprehensive, self-contained discussion of the special statistical methods used to analyze and report count data, also known as categorical data. The emphasis here is on modern methods, with some attention paid to traditional methods as well., Accessible, up-to-date coverage of a broad range of modern and traditional methods. The ability to understand and analyze categorical, or count, data is crucial to the success of statisticians in a wide variety of fields, including biomedicine, ecology, the social sciences, marketing, and many more. Statistical Analysis of Categorical Data provides thorough, clear, up-to-date explanations of all important methods of categorical data analysis at a level accessible to anyone with a solid undergraduate knowledge of statistics. Featuring a liberal use of real-world examples as well as a regression-based approach familiar to most students, this book reviews pertinent statistical theory, including advanced topics such as Score statistics and the transformed central limit theorem. It presents the distribution theory of Poisson as well as multinomial variables, and it points out the connections between them. Complete with numerous illustrations and exercises, this book covers the full range of topics necessary to develop a well-rounded understanding of modern categorical data analysis, including: ∗ Logistic regression and log-linear models. ∗ Exact conditional methods. ∗ Generalized linear and additive models. ∗ Smoothing count data with practical implementations in S-plus software. ∗ Thorough description and analysis of five important computer packages. Supported by an ftp site, which describes the facilities important to a statistician wanting to analyze and report on categorical data, Statistical Analysis of Categorical Data is an excellent resource for students, practicing statisticians, and researchers with a special interest in count data., Supported by an ftp site, which describes the facilities important to a statistician wanting to analyze and report on categorical data, Statistical Analysis of Categorical Data is an excellent resource for students, practicing statisticians, and researchers with a special interest in count data., Accessible, up-to-date coverage of a broad range of modern and traditional methods. The ability to understand and analyze categorical, or count, data is crucial to the success of statisticians in a wide variety of fields, including biomedicine, ecology, the social sciences, marketing, and many more. Statistical Analysis of Categorical Data provides thorough, clear, up-to-date explanations of all important methods of categorical data analysis at a level accessible to anyone with a solid undergraduate knowledge of statistics. Featuring a liberal use of real-world examples as well as a regression-based approach familiar to most students, this book reviews pertinent statistical theory, including advanced topics such as Score statistics and the transformed central limit theorem. It presents the distribution theory of Poisson as well as multinomial variables, and it points out the connections between them. Complete with numerous illustrations and exercises, this book covers the full range of topics necessary to develop a well-rounded understanding of modern categorical data analysis, including: * Logistic regression and log-linear models. * Exact conditional methods. * Generalized linear and additive models. * Smoothing count data with practical implementations in S-plus software. * Thorough description and analysis of five important computer packages. Supported by an ftp site, which describes the facilities important to a statistician wanting to analyze and report on categorical data, Statistical Analysis of Categorical Data is an excellent resource for students, practicing statisticians, and researchers with a special interest in count data., Zur Analyse kategorisierter Daten sind h ufig spezielle statistische Methoden erforderlich, die in der Praxis st ndig variiert und erweitert werden. F r Leser mit soliden Grundkenntnissen der Statistik wurden hier die modernsten Verfahren zusammengefa t und den traditionelleren Methoden gegen bergestellt. Dar ber hinaus werden f nf Programmpakete (Minitab, Glim, S-plus, LogXacT und StatXacT) ausf hrlich beschrieben. (04/99)
LC Classification Number
QA278.L564 1999
Item description from the seller
Seller feedback (1,473)
- i***m (3)- Feedback left by buyer.Past monthVerified purchaseThe book was is great shape. The book cover was a it wrinkle at the bottom. Which is what I was expecting. The inside of the book didn't have any writing or damage. I am completely please which the book. I took a few pictures to show how I received it. Thank-you so much!!!
- 4***n (332)- Feedback left by buyer.Past monthVerified purchaseGood deal on a nice hardcover.
- 2***7 (22)- Feedback left by buyer.Past monthVerified purchaseniceeeeeeeeeeeeeeeeee
Seller feedback (1,473)
- i***m (3)- Feedback left by buyer.Past monthVerified purchaseThe book was is great shape. The book cover was a it wrinkle at the bottom. Which is what I was expecting. The inside of the book didn't have any writing or damage. I am completely please which the book. I took a few pictures to show how I received it. Thank-you so much!!!
- 4***n (332)- Feedback left by buyer.Past monthVerified purchaseGood deal on a nice hardcover.
- 2***7 (22)- Feedback left by buyer.Past monthVerified purchaseniceeeeeeeeeeeeeeeeee