Robust Mixed Model Analysis, Jiang Jiming

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 73920.00 T
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Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Автор: Jos W. R. Twisk
Название: Applied Mixed Model Analysis: A Practical Guide
ISBN: 110872776X ISBN-13(EAN): 9781108727761
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download, equipping readers to replicate the methods.

Автор: Jos W. R. Twisk
Название: Applied Mixed Model Analysis: A Practical Guide
ISBN: 1108480578 ISBN-13(EAN): 9781108480574
Издательство: Cambridge Academ
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Цена: 111930.00 T
Наличие на складе: Невозможна поставка.
Описание: This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download, equipping readers to replicate the methods.

Автор: David Olive
Название: Robust Multivariate Analysis
ISBN: 3319682512 ISBN-13(EAN): 9783319682518
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Поставка под заказ.
Описание: This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis.

Автор: David Rios Insua; Fabrizio Ruggeri
Название: Robust Bayesian Analysis
ISBN: 0387988661 ISBN-13(EAN): 9780387988665
Издательство: Springer
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Цена: 144410.00 T
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Описание: Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss.

Автор: Telman Aliev
Название: Robust Technology with Analysis of Interference in Signal Processing
ISBN: 1461349206 ISBN-13(EAN): 9781461349204
Издательство: Springer
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Цена: 93160.00 T
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Описание: Robust Technology with Analysis of Interference in Signal Processing discusses for the first time the theoretical fundamentals and algorithms of analysis of noise as an information carrier.

Автор: Helmut Rieder
Название: Robust Statistics, Data Analysis, and Computer Intensive Methods
ISBN: 0387946608 ISBN-13(EAN): 9780387946603
Издательство: Springer
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Цена: 111790.00 T
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Описание: This text presents a collection of contributions on modern techniques which are becoming widely used in statistics. These methods include the bootstrap, nonparametric density estimation, robust regression, and projections and sections.

Автор: Christine H. Mueller
Название: Robust Planning and Analysis of Experiments
ISBN: 038798223X ISBN-13(EAN): 9780387982236
Издательство: Springer
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Цена: 111790.00 T
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Описание: The classical approaches of experimental design and robust statistics are introduced before the areas are linked, and the author shows that robust statistical procedures profit by an appropriate choice of the design and that efficient designs for a robust statistical analysis are more applicable.

Автор: J. Franke; W. H?rdle; D. Martin
Название: Robust and Nonlinear Time Series Analysis
ISBN: 038796102X ISBN-13(EAN): 9780387961026
Издательство: Springer
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Цена: 111790.00 T
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Описание: Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data.

Автор: Anthony Atkinson; Marco Riani
Название: Robust Diagnostic Regression Analysis
ISBN: 1461270278 ISBN-13(EAN): 9781461270270
Издательство: Springer
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Цена: 93160.00 T
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Описание: Graphs are used to understand the relationship between a regression model and the data to which it is fitted. As well as illustrating new procedures, the authors develop the theory of the models used, particularly for generalized linear models.

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 84430.00 T
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Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Цена: 74510.00 T
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Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.