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Confidence Intervals on Variance Components, Burdick


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Цена: 38280.00р.
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Автор: Burdick
Название:  Confidence Intervals on Variance Components
ISBN: 9780824786441
Издательство: Taylor&Francis
Классификация:
ISBN-10: 0824786440
Обложка/Формат: Hardback
Страницы: 228
Вес: 0.59 кг.
Дата издания: 28.02.1992
Размер: 229 x 152
Читательская аудитория: Undergraduate
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Поставляется из: Европейский союз


A Programmed Text in Statistics Book 4: Tests on Variance and Regression

Автор: J. Hine
Название: A Programmed Text in Statistics Book 4: Tests on Variance and Regression
ISBN: 041213750X ISBN-13(EAN): 9780412137501
Издательство: Springer
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Цена: 11179.00 р.
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Inference on the Hurst Parameter and the Variance of Diffusions Driven by Fractional Brownian Motion

Автор: Corinne Berzin; Alain Latour; Jos? R. Le?n
Название: Inference on the Hurst Parameter and the Variance of Diffusions Driven by Fractional Brownian Motion
ISBN: 3319078747 ISBN-13(EAN): 9783319078748
Издательство: Springer
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Цена: 11878.00 р.
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Описание: The models studied are fractional Brownian motions and processes that derive from them through stochastic differential equations.Concerning the proofs of the limit theorems, the "Fourth Moment Theorem" is systematically used, as it produces rapid and helpful proofs that can serve as models for the future.

Sequential Analysis

Автор: David Siegmund
Название: Sequential Analysis
ISBN: 0387961348 ISBN-13(EAN): 9780387961347
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The modern theory of Sequential Analysis came into existence simultaneously in the United States and Great Britain in response to demands for more efficient sampling inspection procedures during World War II.

Sequential Analysis

Автор: David Siegmund
Название: Sequential Analysis
ISBN: 1441930752 ISBN-13(EAN): 9781441930750
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The modern theory of Sequential Analysis came into existence simultaneously in the United States and Great Britain in response to demands for more efficient sampling inspection procedures during World War II.

Statistics with Confidence 2nd Edn

Автор: Altman Douglas, Elliott J Elizabeth, Machin David,
Название: Statistics with Confidence 2nd Edn
ISBN: 0727913751 ISBN-13(EAN): 9780727913753
Издательство: Wiley
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Цена: 7595.00 р.
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Описание: 2nd.edition.

Understanding The New Statistics

Автор: Cumming, Geoff
Название: Understanding The New Statistics
ISBN: 0415879671 ISBN-13(EAN): 9780415879675
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Confidence Intervals for Proportions and Related Measures of Effect Size

Автор: Newcombe, Robert Gordon
Название: Confidence Intervals for Proportions and Related Measures of Effect Size
ISBN: 1439812780 ISBN-13(EAN): 9781439812785
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Confidence Intervals in Generalized Regression Models

Автор: Uusipaikka, Esa
Название: Confidence Intervals in Generalized Regression Models
ISBN: 1420060279 ISBN-13(EAN): 9781420060270
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Confidence Intervals for Proportions and Related Measures of Effect Size

Автор: Newcombe Robert Gordon
Название: Confidence Intervals for Proportions and Related Measures of Effect Size
ISBN: 0367576708 ISBN-13(EAN): 9780367576707
Издательство: Taylor&Francis
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Цена: 7348.00 р.
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Описание: This book illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. It provides you with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case. Requiri

CONFIDENCE INTERVALS IN CLINICAL RESEARCH

Автор: Pradhan, Vivek , Menon, Sandeep M. , Banerjee, T
Название: CONFIDENCE INTERVALS IN CLINICAL RESEARCH
ISBN: 1138048984 ISBN-13(EAN): 9781138048980
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: There is only one published book on confidence interval for clinical research. This book has a cookbook style with several examples and codes so that methods presented in the book can be implemented. The primary audience will be statisticians.

Confidence Intervals in Generalized Regression Models

Автор: Uusipaikka, Esa
Название: Confidence Intervals in Generalized Regression Models
ISBN: 0367387085 ISBN-13(EAN): 9780367387082
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание:

A Cohesive Approach to Regression Models

Confidence Intervals in Generalized Regression Models introduces a unified representation--the generalized regression model (GRM)--of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data and its statistical model.

Provides a Large Collection of Models

The book encompasses a number of different regression models, from very simple to more complex ones. It covers the general linear model (GLM), nonlinear regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood ratio tests.

Uses Statistical Inference Package to Make Inferences on Real-Valued Parameter Functions

Offering software that helps with statistical analyses, this book focuses on producing statistical inferences for data modeled by GRMs. It contains numerical and graphical results while providing the code online.

Components of variance

Автор: Cox, D.r. Solomon, P.j.
Название: Components of variance
ISBN: 0367395975 ISBN-13(EAN): 9780367395971
Издательство: Taylor&Francis
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Цена: 10104.00 р.
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Описание: Identifying the sources and measuring the impact of haphazard variations are important in any number of research applications, from clinical trials and genetics to industrial design and psychometric testing. Only in very simple situations can such variations be represented effectively by independent, identically distributed random variables or by random sampling from a hypothetical infinite population.

Components of Variance illuminates the complexities of the subject, setting forth its principles with focus on both the development of models for detailed analyses and the statistical techniques themselves. The authors first consider balanced and unbalanced situations, then move to the treatment of non-normal data, beginning with the Poisson and binomial models and followed by extensions to survival data and more general situations. In the final chapter, they discuss ways of extending and assessing various models, including the study of exceedances, the use of nonlinear representations, the study of transformations of the response variable, and the detailed examination of the distributional form of the underlying random variables.

Careful signposting and numerous examples from genetic data analysis, clinical trial design, longitudinal data analysis, industrial design, and meta-analysis make this book accessible - and valuable - not only to statisticians but to all applied research scientists who use statistical methods.


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