Linear model theory, Zimmerman, Dale L.

Автор: Axler Sheldon
Название: Linear Algebra Done Right
ISBN: 3319110799 ISBN-13(EAN): 9783319110790
Издательство: Springer
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Цена: 41920.00 T
Наличие на складе: Невозможна поставка.
Описание: This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces.

Автор: W. Kraemer; H. Sonnberger
Название: The Linear Regression Model Under Test
ISBN: 3642958788 ISBN-13(EAN): 9783642958786
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Similar credits are due to Adrian Pagan, Roberto Mariano and Garry Phillips, the econometrics guest professors at the Institute in the 1982 - 1984 period, who through their lectures and advice have contributed greatly to our effort.

Автор: Warne, Russell T. (utah Valley University)
Название: Statistics for the social sciences
ISBN: 1108841570 ISBN-13(EAN): 9781108841573
Издательство: Cambridge Academ
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Цена: 92930.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook introduces statistics using the General Linear Model, a method that shows the interconnections among statistical concepts. The second edition is for undergraduate social science majors in a one-semester statistics course and provides timely updates, building on the success of the first edition.

Название: Regression, ANOVA, and the General Linear Model
ISBN: 1412997356 ISBN-13(EAN): 9781412997355
Издательство: Sage Publications
Рейтинг:
Цена: 140450.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The author demonstrates basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use

Автор: Nathan Priddis, Tyler J. Jarvis
Название: Singularities, Mirror Symmetry, and the Gauged Linear Sigma Model
ISBN: 1470457008 ISBN-13(EAN): 9781470457006
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 101990.00 T
Наличие на складе: Невозможна поставка.
Описание: This volume contains the proceedings of the workshop Crossing the Walls in Enumerative Geometry, held in May 2018 at Snowbird, Utah. It features a collection of both expository and research articles about mirror symmetry, quantized singularity theory (FJRW theory), and the gauged linear sigma model.Most of the expository works are based on introductory lecture series given at the workshop and provide an approachable introduction for graduate students to some fundamental topics in mirror symmetry and singularity theory, including quasimaps, localization, the gauged linear sigma model (GLSM), virtual classes, cosection localization, $p$-fields, and Saito's primitive forms. These articles help readers bridge the gap from the standard graduate curriculum in algebraic geometry to exciting cutting-edge research in the field.The volume also contains several research articles by leading researchers, showcasing new developments in the field.

Автор: Zimmerman Dale L.
Название: Linear Model Theory: Exercises and Solutions
ISBN: 3030520765 ISBN-13(EAN): 9783030520762
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

Автор: Khuri, Andre I.
Название: Linear Model Methodology
ISBN: 1584884819 ISBN-13(EAN): 9781584884811
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Нет в наличии.

Автор: Zimmerman, Dale L.
Название: Linear model theory
ISBN: 3030520730 ISBN-13(EAN): 9783030520731
Издательство: Springer
Рейтинг:
Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

Автор: Zimmerman Dale L.
Название: Linear Model Theory: With Examples and Exercises
ISBN: 303052065X ISBN-13(EAN): 9783030520656
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook presents a unified and rigorous approach to best linear unbiased estimation and prediction of parameters and random quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based.

Автор: George Seber
Название: The Linear Model and Hypothesis
ISBN: 3319349171 ISBN-13(EAN): 9783319349176
Издательство: Springer
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Цена: 65210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory.

Автор: George Seber
Название: The Linear Model and Hypothesis
ISBN: 3319219294 ISBN-13(EAN): 9783319219295
Издательство: Springer
Рейтинг:
Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory.

Автор: Ravishanker
Название: First Course In Linear Model Theory
ISBN: 1439858055 ISBN-13(EAN): 9781439858059
Издательство: Taylor&Francis
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Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition features several new topics that are extremely relevant to the current research in statistical methodology. Revised or expanded topics include analysis of covariance, Bayesian linear and generalized linear model, nonlinear regression, among others.