Multiple Comparisons, Hsu, Jason

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.

Автор: Gomes, Maria Isabel,
Название: Mathematical models for decision making with multiple perspectives :
ISBN: 0367440741 ISBN-13(EAN): 9780367440749
Издательство: Taylor&Francis
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Цена: 153120.00 T
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Описание: This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered by different books. It is written in a didactic form using examples to help understanding of the proposed methodologies better.

Автор: P?ter Major
Название: On the Estimation of Multiple Random Integrals and U-Statistics
ISBN: 3642376169 ISBN-13(EAN): 9783642376160
Издательство: Springer
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Цена: 41920.00 T
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Описание: This work starts with the study of those limit theorems in probability theory for which classical methods do not work.

Автор: Richard A. Rudick; Donald E. Goodkin
Название: Treatment of Multiple Sclerosis
ISBN: 144713186X ISBN-13(EAN): 9781447131861
Издательство: Springer
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Цена: 81050.00 T
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Автор: G.H. Tzeng; H.F. Wang; U.P. Wen; P.L. Yu
Название: Multiple Criteria Decision Making
ISBN: 1461276268 ISBN-13(EAN): 9781461276265
Издательство: Springer
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Цена: 97820.00 T
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Автор: Ambrose Goicoechea; L. Duckstein; Stanley Zionts
Название: Multiple Criteria Decision Making
ISBN: 1461277191 ISBN-13(EAN): 9781461277194
Издательство: Springer
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Цена: 97820.00 T
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Описание: Ambitious as the enterprise was, and as demanding as the planning effort promised to be, we set out to organize the IX International Conference on Multiple criteria Decision Making (MCDM) which took place in Fairfax, Virginia, on August 5-8, 1990.

Автор: Lemuel A. Moy?
Название: Multiple Analyses in Clinical Trials
ISBN: 1441918361 ISBN-13(EAN): 9781441918369
Издательство: Springer
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Цена: 78350.00 T
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Описание: One of the most challenging issues for clinical trial investigators, sponsors, and regulatory officials is the interpretation of experimental results that are composed of the results of multiple statistical analyses. These analyses may include the effect of therapy on multiple endpoints, the assessment of a subgroup analysis, and the evaluation of a dose-response relationship in complex mixtures. Multiple Analyses in Clinical Trials: Fundamentals for Clinical Investigators is an essentially nonmathematical discussion of the problems posed by the execution of multiple analyses in clinical trials. It concentrates on the rationale for the analyses, the difficulties posed by their interpretation, easily understood solutions, and useful problem sets. This text will help clinical investigators understand multiple analysis procedures and the key issues when designing their own work or reviewing the research of others. This book is written for advanced medical students, clinical investigators at all levels, research groups within the pharmaceutical industry, regulators at the local, state, and federal level, and biostatisticians. Only a basic background in health care and introductory statistics is required. Dr. Lemuel A. Moye, M.D., Ph.D. is a physician and Professor of Biometry at the University of Texas School of Public Health. He has been Co-Principal Investigator of two multinational clinical trials examining the role of innovative therapy in post myocardial infarction survival (SAVE) and the use of cholesterol reducing agents in post myocardial infarction survival in patients with normal cholesterol levels (CARE). He has authored over one hundred articles in journals such as the Journal of the American Medical Association, the New England Journal of Medicine, Statistics in Medicine, and Controlled Clinical Trials.

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
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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.

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: Shiraishi
Название: Multiple Comparisons for Bernoulli Data
ISBN: 9811927073 ISBN-13(EAN): 9789811927072
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book focuses on multiple comparisons of proportions in multi-sample models with Bernoulli responses. First, the author explains the one-sample and two-sample methods that form the basis of multiple comparisons. Then, regularity conditions are stated in detail. Simultaneous inference for all proportions based on exact confidence limits and based on asymptotic theory is discussed. Closed testing procedures based on some one-sample statistics are introduced. For all-pairwise multiple comparisons of proportions, the author uses arcsine square root transformation of sample means. Closed testing procedures based on maximum absolute values of some two-sample test statistics and based on chi-square test statistics are introduced. It is shown that the multi-step procedures are more powerful than single-step procedures and the Ryan–Einot–Gabriel–Welsch (REGW)-type tests. Furthermore, the author discusses multiple comparisons with a control. Under simple ordered restrictions of proportions, the author also discusses closed testing procedures based on maximum values of two-sample test statistics and based on Bartholomew's statistics. Last, serial gatekeeping procedures based on the above-mentioned closed testing procedures are proposed although Bonferroni inequalities are used in serial gatekeeping procedures of many.

Автор: Hoppe, Fred. M.
Название: Multiple Comparisons, Selection and Applications in Biometry
ISBN: 0824788958 ISBN-13(EAN): 9780824788957
Издательство: Taylor&Francis
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Цена: 275610.00 T
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Автор: Hsu, Jason
Название: Multiple Comparisons
ISBN: 1032478020 ISBN-13(EAN): 9781032478029
Издательство: Taylor&Francis
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Цена: 46950.00 T
Наличие на складе: Нет в наличии.