潜变量建模与Mplus应用:进阶篇 🔍
王孟成; 毕向阳 著 重庆大学出版社, 2018
英语 [en] · 中文 [zh] · PDF · 55.4MB · 2018 · 📘 非小说类图书 · 🚀/lgli/zlib · Save
描述
praise For The First Edition . . . Provides A Very Thorough Treatment Of Regression Approaches, Including Techniques Not Covered In Many Books . . . — technometrics . . . An Excellent Book . . . Worthwhile For Anyone Who Uses Regression Techniques To Obtain Their Own Copy Of This Book . . . — australian & New Zealand Journal Of Statistics modern Regression Methods, Second Edition Maintains The Accessible Organization, Breadth Of Coverage, And Cutting-edge Appeal That Earned Its Predecessor The Title Of Being One Of The Top Five Books For Statisticians By An amstat News Book Editor In 2003. This New Edition Has Been Updated And Enhanced To Include All-new Information On The Latest Advances And Research In The Evolving Field Of Regression Analysis. the Book Provides A Unique Treatment Of Fundamental Regression Methods, Such As Diagnostics, Transformations, Robust Regression, And Ridge Regression. Unifying Key Concepts And Procedures, This New Edition Emphasizes Applications To Provide A More Hands-on And Comprehensive Understanding Of Regression Diagnostics. New Features Of The second Edition Include: A Revised Chapter On Logistic Regression, Including Improved Methods Of Parameter Estimation A New Chapter Focusing On Additional Topics Of Study In Regression, Including Quantile Regression, Semiparametric Regression, And Poisson Regression A Wealth Of New And Updated Exercises With Worked Solutions An Extensive Ftp Site Complete With Minitab® Macros, Which Allow The Reader To Compute Analyses, And Specialized Procedures Updated References At The End Of Each Chapter That Direct The Reader To The Appropriate Resources For Further Study an Accessible Guide To State-of-the-art Regression Techniques, modern Regression Methods, Second Edition Is An Excellent Book For Courses In Regression Analysis At The Upper-undergraduate And Graduate Levels. It Is Also A Valuable Reference For Practicing Statisticians, Engineers, And Physical Scientists.
australian & New Zealand Statistics ...an Excellent Book...worthwhile For Anyone That Uses Regression Techniques To Obtain Their Own Copy Of This Book...
备用文件名
zlib/no-category/王孟成; 毕向阳 著/潜变量建模与Mplus应用:进阶篇_25127767.pdf
备选标题
Modern Regression Methods
备选作者
Ryan, Thomas P.
备选作者
Thomas P. Ryan
备用出版商
John Wiley & Sons, Incorporated
备用出版商
Spectrum Publications
备用出版商
Wiley-Interscience
备用出版商
Halsted Press
备用版本
Wiley series in probability and statistics, 2nd ed, Hoboken, N.J, ©2009
备用版本
2nd ed., Hoboken, N.J, New Jersey, 2008
备用版本
United States, United States of America
备用版本
2nd Edition, FR, 2008
元数据中的注释
Includes bibliographical references and index.
备用描述
"Over the years, I have had the opportunity to teach several regression courses, and I cannot think of a better undergraduate text than this one." ( The American Statistician ) "The book is well written and has many exercises. It can serve as a very good textbook for scientists and engineers, with only basic statistics as a prerequisite. I also highly recommend it to practitioners who want to solve real-life prediction problems." ( Computing Reviews )
Modern Regression Methods, Second Edition maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an Amstat News book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis.
The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics. New features of the Second Edition include:
A revised chapter on logistic regression, including improved methods of parameter estimation
A new chapter focusing on additional topics of study in regression, including quantile regression, semiparametric regression, and Poisson regression
A wealth of new and updated exercises with worked solutions
An extensive FTP site complete with Minitab macros, which allow the reader to compute analyses, and specialized procedures
Updated references at the end of each chapter that direct the reader to the appropriate resources for further study
An accessible guide to state-of-the-art regression techniques, Modern Regression Methods, Second Edition is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians, engineers, and physical scientists.
备用描述
"Modern Regression Methods, Second Edition maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an Amstat News book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis." "An accessible guide to state-of-the-art regression techniques, Modern Regression Methods, Second Edition is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians, engineers, and physical scientists."--Jacket
开源日期
2023-05-24
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