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Titlebook: Linear Model Theory; Exercises and Soluti Dale L. Zimmerman Textbook 2020 Springer Nature Switzerland AG 2020 62J05, 62J10, 62F03, 62F10, 6

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樓主
發(fā)表于 2025-3-21 17:23:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Linear Model Theory
副標(biāo)題Exercises and Soluti
編輯Dale L. Zimmerman
視頻videohttp://file.papertrans.cn/587/586339/586339.mp4
概述Presents a unique collection of 296 exercises and complete solutions on linear model theory.Covers a wide variety of topics, including best linear unbiased estimation and prediction.Will benefit stude
圖書封面Titlebook: Linear Model Theory; Exercises and Soluti Dale L. Zimmerman Textbook 2020 Springer Nature Switzerland AG 2020 62J05, 62J10, 62F03, 62F10, 6
描述.This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses, estimability, best linear unbiased estimation and prediction, ANOVA, confidence intervals, simultaneous confidence intervals, hypothesis testing, and variance component estimation. The models covered include the Gauss-Markov and Aitken models, mixed and random effects models, and the general mixed linear model. Given its content, the book will be useful for students and instructors alike. Readers can also consult the companion textbook .Linear Model Theory - .With Examples and Exercises. by the same author for the theory behind the exercises..
出版日期Textbook 2020
關(guān)鍵詞62J05, 62J10, 62F03, 62F10, 62F25; linear models; statistical theory; exercises and solutions; generaliz
版次1
doihttps://doi.org/10.1007/978-3-030-52074-8
isbn_softcover978-3-030-52076-2
isbn_ebook978-3-030-52074-8
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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linear unbiased estimation and prediction.Will benefit stude.This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses, estimability, best linear unbiased estimation and prediction, ANOVA, confidence intervals, simultaneou
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Textbook 2020, best linear unbiased estimation and prediction, ANOVA, confidence intervals, simultaneous confidence intervals, hypothesis testing, and variance component estimation. The models covered include the Gauss-Markov and Aitken models, mixed and random effects models, and the general mixed linear model.
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A Brief Introduction,independently of the textbook, but the solutions refer liberally to theorems and other results therein. They are arranged in chapters, the numbers and titles of which are identical to those of the chapters in the textbook that have exercises.
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A Brief Introduction,s published by Springer in 2020. The exercises themselves have been restated, when necessary and feasible, to make them as comprehensible as possible independently of the textbook, but the solutions refer liberally to theorems and other results therein. They are arranged in chapters, the numbers and
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a complex set of lexical-semantic and sub lexical-phonological linguistic processes, suggesting a dual-route model of processing in which the two routes interact albeit at various degrees depending on the nature of the verbal input to be repeated. Repetition abilities are shown to be linked to langu
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Dale L. Zimmermanon executive functions in general, and inhibition in particular. This function allows to control automatic processes and to stop them when they are not adapted to the current situation. This high-level function is supported by a widely distributed bilateral network involving the prefrontal cortex, i
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