Fixed Effects Regression Models, Paul D Allison

Автор: Alain F. Zuur; Elena N. Ieno; N. J. Walker; Anatol
Название: Mixed effects models and extensions in ecology with R
ISBN: 0387874577 ISBN-13(EAN): 9780387874579
Издательство: Springer
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Описание: This book discusses advanced statistical methods that can be used to analyse ecological data. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.

Автор: Koenker, Roger
Название: Quantile regression
ISBN: 0521608279 ISBN-13(EAN): 9780521608275
Издательство: Cambridge Academ
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Описание: Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences.

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.

Автор: Fahrmeir Ludwig
Название: Regression
ISBN: 3642343325 ISBN-13(EAN): 9783642343322
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Thus, the book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis.