Randomization, Bootstrap and Monte Carlo Methods in Biology, Manly, Bryan F.J. , Navarro Alberto, Jorge A.
Автор: Manly, Bryan F.J. , Navarro Alberto, Jorge A. Название: Randomization, Bootstrap and Monte Carlo Methods in Biology ISBN: 0367349949 ISBN-13(EAN): 9780367349943 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The fourth edition of the book illustrates a large number of statistical methods with an emphasis on biological applications. It provides comprehensive coverage of computer-intensive applications, with datasets available online.
Автор: Berger Vance Название: Randomization, Masking, and Allocation Concealment ISBN: 036773561X ISBN-13(EAN): 9780367735616 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Нет в наличии. Описание:
Randomization, Masking, and Allocation Concealment is indispensable for any trial researcher who wants to use state of the art randomization methods, and also wants to be able to describe these methods correctly.
Far too often the subtle nuances that distinguish proper randomization from flawed randomization are completely ignored in trial reports that state only that randomization was used, with no additional information. Experience has shown that in many cases, the type of randomization that was used was flawed. It is only a matter of time before medical journals and regulatory agencies come to realize that we can no longer rely on (or publish) flawed trials, and that flawed randomization in and of itself disqualifies a trial from being robust or high quality, even if that trial is of high quality otherwise.
This book will help to clarify the role randomization plays in ensuring internal validity, and in drawing valid inferences from the data. The various chapters cover a variety of randomization methods, and are not limited to the most common (and most flawed) ones. Readers will come away with a profound understanding of what constitutes a valid randomization procedure, so that they can distinguish the valid from the flawed among not only existing methods but also methods yet to be developed.
Автор: Burgess Stephen, Thompson Simon G. Название: Mendelian Randomization: Methods for Causal Inference Using Genetic Variants ISBN: 0367341840 ISBN-13(EAN): 9780367341848 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Mendelian randomization (MR) uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk factors, such as biomarkers, for a wide range of disease outcomes.
Автор: Burgess, Stephen (mrc Biostatistics Unit, Cambridge, Uk) Thompson, Simon G. (department Of Public Health And Primary Care, University Of Cambridge, Uk Название: Mendelian randomization ISBN: 1032019514 ISBN-13(EAN): 9781032019512 Издательство: Taylor&Francis Рейтинг: Цена: 68390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Mendelian randomization (MR) uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk factors, such as biomarkers, for a wide range of disease outcomes.
Автор: Mitzenmacher Название: Probability and Computing ISBN: 110715488X ISBN-13(EAN): 9781107154889 Издательство: Cambridge Academ Рейтинг: Цена: 54910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This greatly expanded new edition, requiring only an elementary background in discrete mathematics, comprehensively covers randomization and probabilistic techniques in modern computer science. It includes new material relevant to machine learning and big data analysis, plus examples and exercises, enabling students to learn modern techniques and applications.
Автор: Edgington, Eugene Название: Randomization Tests ISBN: 1584885890 ISBN-13(EAN): 9781584885894 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Нет в наличии.
Автор: Edgington, Eugene Название: Randomization Tests ISBN: 0367577712 ISBN-13(EAN): 9780367577711 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Karian, Zaven A. Название: Fitting Statistical Distributions ISBN: 1584880694 ISBN-13(EAN): 9781584880691 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Hjorth, J. S. Urban. Название: Computer Intensive Statistical Methods ISBN: 0367449676 ISBN-13(EAN): 9780367449674 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome obstacles that could not be previously solved by methods such as regression and time series modelling in the areas of economics, meteorology, and transportation.
Автор: Chernick Название: Bootstrap Methods - A Guide for Practitioners and Researchers 2e ISBN: 0471756210 ISBN-13(EAN): 9780471756217 Издательство: Wiley Рейтинг: Цена: 146730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an introduction to the bootstrap for readers who have professional interest in its methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap`s considerable advantages as well as its drawbacks.
Автор: Efron Название: An Introduction to the Bootstrap ISBN: 0412042312 ISBN-13(EAN): 9780412042317 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.
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