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Linear models with python, Faraway, Julian J.


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Цена: 13779.00р.
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Автор: Faraway, Julian J.
Название:  Linear models with python
Перевод названия: Джулиан Дж. Фарэуэй: Линейные модели с языком пифон
ISBN: 9781138483958
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1138483958
Обложка/Формат: Hardcover
Страницы: 298
Вес: 0.60 кг.
Дата издания: 28.12.2020
Серия: Chapman & hall/crc texts in statistical science
Язык: English
Иллюстрации: 5 tables, black and white; 85 illustrations, black and white
Размер: 23.88 x 16.26 x 2.29 cm
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: Linear Models with Python offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using Python


Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata

Автор: Kaufman Robert L.
Название: Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata
ISBN: 150636537X ISBN-13(EAN): 9781506365374
Издательство: Sage Publications
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Цена: 18058.00 р.
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Описание: Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.

Methods and Applications of Linear Models

Автор: Hocking Ronald R
Название: Methods and Applications of Linear Models
ISBN: 1118329503 ISBN-13(EAN): 9781118329504
Издательство: Wiley
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Цена: 20109.00 р.
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Описание: Praise for the Second Edition "An essential desktop reference book... it should definitely be on your bookshelf.

Generalized Linear and Nonlinear Models for Correlated Data

Название: Generalized Linear and Nonlinear Models for Correlated Data
ISBN: 1599946475 ISBN-13(EAN): 9781599946474
Издательство: Неизвестно
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Цена: 21509.00 р.
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Описание: Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear models. Written in a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and understanding to conduct complex analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. Using numerous and complex examples, the book emphasizes real-world applications where the underlying model requires a nonlinear rather than linear formulation and compares and contrasts the various estimation techniques for both marginal and mixed-effects models. The SAS procedures MIXED, GENMOD, GLIMMIX, and NLMIXED as well as user-specified macros will be used extensively in these applications. In addition, the book provides detailed software code with most examples so that readers can begin applying the various techniques immediately.

Applied Linear Statistical Models with Student CD

Автор: Nachtsheim;Neter;Kutner
Название: Applied Linear Statistical Models with Student CD
ISBN: 0071122214 ISBN-13(EAN): 9780071122214
Издательство: McGraw-Hill
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Цена: 9265.00 р.
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Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.


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