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Regression Analysis and Linear Models: Concepts, Applications, and Implementation, Darlington Richard B., Hayes Andrew F.


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Автор: Darlington Richard B., Hayes Andrew F.
Название:  Regression Analysis and Linear Models: Concepts, Applications, and Implementation
Перевод названия: Ричард Дарлингтон: Регрессивный анализ и линейные модели. Концепции, приложения и реализация
ISBN: 9781462521135
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1462521134
Обложка/Формат: Hardback
Страницы: 661
Вес: 1.33 кг.
Дата издания: 21.10.2016
Серия: Methodology in the social sciences
Язык: English
Размер: 188 x 263 x 35
Читательская аудитория: Professional & vocational
Ключевые слова: Psychological methodology, PSYCHOLOGY / General,SOCIAL SCIENCE / Research
Подзаголовок: Concepts, applications, and implementation
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Поставляется из: Европейский союз
Описание: Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book`s examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable`s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Applied Regression Analysis and Generalized Linear Models

Автор: Fox John
Название: Applied Regression Analysis and Generalized Linear Models
ISBN: 1452205663 ISBN-13(EAN): 9781452205663
Издательство: Sage Publications
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Цена: 166850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.

Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications

Автор: Jo?o Lita da Silva; Frederico Caeiro; Isabel Nat?r
Название: Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
ISBN: 3642446299 ISBN-13(EAN): 9783642446290
Издательство: Springer
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Цена: 194730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009.

Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications

Автор: Jo?o Lita da Silva; Frederico Caeiro; Isabel Nat?r
Название: Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
ISBN: 364234903X ISBN-13(EAN): 9783642349034
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009.

Regression Analysis and Linear Models

Автор: Molloy Graham
Название: Regression Analysis and Linear Models
ISBN: 1635497051 ISBN-13(EAN): 9781635497052
Издательство: Неизвестно
Цена: 163070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Regression Analysis with Applications

Автор: G. Wetherill
Название: Regression Analysis with Applications
ISBN: 9401083223 ISBN-13(EAN): 9789401083225
Издательство: Springer
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Цена: 81050.00 T
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Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Автор: M.S. Nikulin; N. Balakrishnan; Mounir Mesbah; Niko
Название: Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life
ISBN: 146126491X ISBN-13(EAN): 9781461264910
Издательство: Springer
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Цена: 102480.00 T
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Описание:

Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis and related fields.

Specific topics covered include:

* non-parametric estimation of lifetimes of subjects exposed to radiation

* statistical analysis of simultaneous degradation-mortality data with covariates of the aged

* estimation of maintenance efficiency in semiparametric imperfect repair models

* cancer prognosis using survival forests

* short-term health problems related to air pollution: analysis using semiparametric generalized additive models

* parametric models in accelerated life testing and fuzzy data

* semiparametric models in the studies of aging and longevity

This book will be of use as a reference text for general statisticians, theoreticians, graduate students, reliability engineers, health researchers, and biostatisticians working in applied probability and statistics.



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