Applied Logistic Regression, David W. Hosmer Jr.,Stanley Lemeshow,Rodney X. Stu
Автор: Lewis-Beck Michael S. Professor, Lewis-Beck Colin Название: Applied Regression: An Introduction ISBN: 1483381471 ISBN-13(EAN): 9781483381473 Издательство: Sage Publications Рейтинг: Цена: 5859.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of transformations; and the inclusion of the measures of tolerance and VIF within the discussion about collinearity.
Автор: Sanford Weisberg Название: Applied Linear Regression, 3rd Edition ISBN: 0471663794 ISBN-13(EAN): 9780471663799 Издательство: Wiley Рейтинг: Цена: 14335.00 р. Наличие на складе: Поставка под заказ.
Описание: Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this Third Edition stresses using graphical methods to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. This text is an excellent tool f learning how to use linear regression analysis techniques to solve and gain insight into real--life problems.
Автор: Weisberg Sanford Название: Applied Linear Regression ISBN: 1118386086 ISBN-13(EAN): 9781118386088 Издательство: Wiley Рейтинг: Цена: 18842.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling.
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