Regression Analysis by Example - это книга, которая изучает метод регрессионного анализа для исследования отношений между переменными. В новом издании книги уделено больше внимания на анализ данных и диагностику регрессии, а также на подробное изучение тем, таких как мультиколлинеарность, логистическая регрессия и робастная регрессия. В книге также добавлен новый раздел по обнаружению и исправлению мультиколлинеарности.
В книге представлены примеры, которые демонстрируют различные методы регрессионного анализа и типичные проблемы, которые можно встретить в реальном мире. Каждый пример содержит подробное описание методов и анализ их эффективности. Большинство методов, описанных в книге, могут быть выполнены с помощью большинства доступных статистических программных пакетов, таких как R.
Книга подходит для всех, кто имеет понимание элементарной статистики. В новом издании книги также рассматриваются дополнительные темы, такие как регрессия с заменой и анализ дисперсии для экспериментальных данных.
Praise for the 4th Edition: "This book . . .
This book features gamma audiovisual learning materials that are truly unrivaled. Fourteenth edition of this book will bring you the user-friendly learning material in the form of 120 lectures that cover every aspect of regression model with 60 lecture videos for each chapter. Every episode of the 11 days long lecture includes comprehensive discussions wherein experienced 26 professors audit the problems faced by real world people with standard techniques. The main aim is to understand the rigorous application of the presented methods for solving real life problems using the most adopted statistical approaches like least square, weighted least square, generalized least square or other statistical approaches. The experts of Multinomial Logistics Regression and Generalized Regression have put all their efforts into making the study sessions simpler, worry free and practical. This master class will provide the understanding of an extremely relevant skill enabling working professionals like researchers, Academicians and postgraduate students to apply this research methodology in a comprehensive manner.
Электронная Книга «Regression Analysis by Example» написана автором Hadi Ali S. в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781119122739
Описание книги от Hadi Ali S.
Praise for the Fourth Edition: «This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable.» —Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including: Surrogate ridge regression Fitting nonlinear models Errors in variables ANOVA for designed experiments Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions, the required assumptions, and the evaluated success of each technique. Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R. Regression Analysis by Example, Fifth Edition is suitable for anyone with an understanding of elementary statistics.
