Handbook of Multiple Comparisons, Cui, Xinping ; Dickhaus, Thorsten ; Ding, Ying

Автор: Peacock, Janet L.
Название: Oxford handbook of medical statistics - 2e.
ISBN: 0198743580 ISBN-13(EAN): 9780198743583
Издательство: Oxford Academ
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Цена: 35890.00 T
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Описание: This new edition of the Oxford Handbook of Medical Statistics provides doctors and medical students with a clear and concise explanation of statistical methods. It is an accessible and thorough account of a complex subject, and the previous edition has been described by readers as a `statistical Bible`.

Автор: Kawachi I.
Название: Oxford handbook of public health practice - 4e.
ISBN: 0198800126 ISBN-13(EAN): 9780198800125
Издательство: Oxford Academ
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Цена: 38010.00 T
Наличие на складе: Ожидается поступление.
Описание: This is the quick, go-to-reference book for public health trainees and practitioners. It distils information from the core disciplines of public health into one concise volume. It is also packed with practical tips on professional competencies and skills development, as well as new emerging topics.

Автор: Ward Helen, Toledano Mireille, Elliott Paul
Название: Oxford Handbook of Epidemiology for Clinicians
ISBN: 0198529880 ISBN-13(EAN): 9780198529880
Издательство: Oxford Academ
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Цена: 35890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Oxford Handbook of Epidemiology for Clinicians is the essential reference for all clinicians and junior doctors who need to apply clinical evidence in everyday practice.

Автор: Roger Bowden
Название: The Information Theory of Comparisons
ISBN: 981134647X ISBN-13(EAN): 9789811346477
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Нет в наличии.
Описание: This book finds a broad domain of relevance in statistics and the social sciences. Its conceptual development is supported by applications to economics and income distribution, finance, education, demographics and actuarial science, political studies, psychology, and general statistics. Fresh perspectives on directional complexity have generated an informational theory of ‘more versus less’, with representative polar outcomes as good or bad, or rich or poor. New duality metrics for spread and asymmetry have resulted, motivated by internal perspectives on the part of subjects, such as attitudes to their comparative (dis)advantage. This book is a readable review of these developments. Concepts and applications are described in tandem with each other. They consolidate recent contributions to the research literature, augmented with fresh insights and applications. Dynamic extensions include modeling shifting social attitudes, while the broader agenda encompasses topical areas such as subjectivist probability, investment decision making, and income distribution.

Автор: Stewart, Professor Ian
Название: Do dice play god?
ISBN: 1781259445 ISBN-13(EAN): 9781781259443
Издательство: Profile
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Цена: 12130.00 T
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Описание: Professor Ian Stewart explores the development and limits of the mathematics that tame uncertainty.

Автор: Kochar
Название: Stochastic Comparisons with Applications
ISBN: 3031121031 ISBN-13(EAN): 9783031121036
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods. The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics and spacings, including a long chapter on dependence among them. The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians. Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability.

Автор: Kochar
Название: Stochastic Comparisons with Applications
ISBN: 3031121066 ISBN-13(EAN): 9783031121067
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods. The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics and spacings, including a long chapter on dependence among them. The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians. Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability.

Автор: Grace Y. Yi, Aurore Delaigle, Paul Gustafson
Название: Handbook of Measurement Error Models
ISBN: 1138106402 ISBN-13(EAN): 9781138106406
Издательство: Taylor&Francis
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Цена: 219470.00 T
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Описание: Reference text for statistical methods and applications for measurement error models for: researchers who work with error-contaminated data, graduate students from statistics and biostatistics, analysts in multiple fields, including medical research, biosciences, nutritional studies, epidemiological studies and environmental studies.

Автор: Hooshang Nayebi
Название: Advanced Statistics for Testing Assumed Causal Relationships
ISBN: 3030547531 ISBN-13(EAN): 9783030547530
Издательство: Springer
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Цена: 74530.00 T
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Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.

Название: Handbook of Multiple Comparisons
ISBN: 0367140675 ISBN-13(EAN): 9780367140670
Издательство: Taylor&Francis
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Цена: 219470.00 T
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Описание: Treats the topics of multiple comparisons, simultaneous and selective inference from avariety of different perspectives. The need for a systematic treatment of the eld originates from the relevanceof multiple comparisons in many applications (medicine, industry, economics), and from the diversityof approaches and developments.

Автор: Hoppe,
Название: Multiple Comparisons, Selection and Applications in Biometry
ISBN: 0367402602 ISBN-13(EAN): 9780367402600
Издательство: Taylor&Francis
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Цена: 46950.00 T
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Описание: Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry. This text is published in honour of the 70th birthday of Charles W. Dunnett - a pioneer in statistical methodology.

Автор: Taka-aki Shiraishi; Hiroshi Sugiura; Shin-ichi Mat
Название: Pairwise Multiple Comparisons
ISBN: 9811500657 ISBN-13(EAN): 9789811500657
Издательство: Springer
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Цена: 55890.00 T
Наличие на складе: Нет в наличии.
Описание: This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models. It shows that (1) the multi-step procedures are more powerful than single-step procedures and the Ryan/Einot–Gabriel/Welsh tests, and (2) the confidence regions induced by the multi-step procedures are equivalent to simultaneous confidence intervals. Next, it describes the multi-step test procedure in heteroscedastic multi-sample models, which is superior to the single-step Games–Howell procedure. In the context of simple ordered restrictions of means, the authors also discuss closed testing procedures based on maximum values of two-sample one-sided t-test statistics and based on Bartholomew's statistics. Furthermore, the book presents distribution-free procedures and describes simulation studies performed under the null hypothesis and some alternative hypotheses. Although single-step multiple comparison procedures are generally used, the closed testing procedures described are more powerful than the single-step procedures. In order to execute the multiple comparison procedures, the upper 100? percentiles of the complicated distributions are required. Classical integral formulas such as Simpson's rule and the Gaussian rule have been used for the calculation of the integral transform that appears in statistical calculations. However, these formulas are not effective for the complicated distribution. As such, the authors introduce the sinc method, which is optimal in terms of accuracy and computational cost.