Bayesian Methods, Gill

Автор: Reiner Westermeier
Название: Electrophoresis in Practice: A Guide to Methods and Applications of DNA and Protein Separations, 4th, Revised and Updated Edition
ISBN: 3527311815 ISBN-13(EAN): 9783527311811
Издательство: Wiley
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Цена: 10164.00 р. 14520.00 -30%
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Описание: This laboratory guide for successful electrophoretic separations is divided into two parts to provide readers with a thorough presentation of the fundamentals followed by a detailed description of the most common methods currently in use. This fourth edition retains the successful concept of its predecessors, yet features a brand--new layout, and is further enhanced by a section on difference gel electrophoresis, while the chapter on proteome analysis is practically all new and considerably extended, plus there are now around 10 per cent new literature references.

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 35369.00 р.
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Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Автор: Robert Lanza
Название: Essential Stem Cell Methods,
ISBN: 012375061X ISBN-13(EAN): 9780123750617
Издательство: Elsevier Science
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Цена: 9425.00 р.
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Описание: This is a fast-moving field, and these detailed methods will help drive advances in stem cell research. The editors have hand selected step-by-step methods from researchers with extensive reputations and expertise.This volume, as part of the Reliable Lab Solutions series, delivers busy researchers a handy, time-saving source for the best methods and protocols in stem cells.

Автор: Peter Burnham; Karin Gilland Lutz; Wyn Grant
Название: Research Methods in Politics
ISBN: 0230019854 ISBN-13(EAN): 9780230019850
Издательство: Springer
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Цена: 6148.00 р.
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Описание: Klemens von Klemperer traces the many efforts of the German Resistance to forge alliances with Hitler`s opponents outside Germany. He uncovers the activities and beliefs of individual members, the formation of Resistance policies, their relations with the intelligence agencies of the Allied powers, and finally assesses the Resistance`s influence on the agenda of post-war international relations.

Автор: Plichta
Название: Munros Statistical methods health care 6E
ISBN: 1451187947 ISBN-13(EAN): 9781451187946
Издательство: Lippincott Williams & Wilkins
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Цена: 13556.00 р.
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Описание: This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today's health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study.

Автор: David G. T. Denison
Название: Bayesian Methods for Nonlinear Classification and Regression
ISBN: 0471490369 ISBN-13(EAN): 9780471490364
Издательство: Wiley
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Цена: 20584.00 р.
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Описание: Regression analysis models the relationship between a set of responses and another variable: for example, to estimate the true position of a line through a number of observed points. Unfortunately, data rarely conforms to simple curves and straight lines - parametric models - and this text examines more complex - or nonparametric - models.

Автор: Chen Ming-Hui, Shao Qi-Man, Ibrahim Joseph G.
Название: Monte Carlo Methods in Bayesian Computation
ISBN: 0387989358 ISBN-13(EAN): 9780387989358
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book examines advanced Bayesian computational methods. It presents methods for sampling from posterior distributions and discusses how to compute posterior quantities of interest using Markov chain Monte Carlo (MCMC) samples. This book examines each of these issues in detail and heavily focuses on computing various posterior quantities of interest from a given MCMC sample. Several topics are addressed, including techniques for MCMC sampling, Monte Carlo methods for estimation of posterior quantities, improving simulation accuracy, marginal posterior density estimation, estimation of normalizing constants, constrained parameter problems, highest posterior density interval calculations, computation of posterior modes, and posterior computations for proportional hazards models and Dirichlet process models. The authors also discuss computions involving model comparisons, including both nested and non-nested models, marginal likelihood methods, ratios of normalizing constants, Bayes factors, the Savage-Dickey density ratio, Stochastic Search Variable Selection, Bayesian Model Averaging, the reverse jump algorithm, and model adequacy using predictive and latent residual approaches.The book presents an equal mixture of theory and applications involving real data. The book is intended as a graduate textbook or a reference book for a one semester course at the advanced masters or Ph.D. level. It would also serve as a useful reference book for applied or theoretical researchers as well as practitioners.Ming-Hui Chen is Associate Professor of Mathematical Sciences at Worcester Polytechnic Institute, Qu-Man Shao is Assistant Professor of Mathematics at the University of Oregon. Joseph G. Ibrahim is Associate Professor of Biostatistics at the Harvard School of Public Health and Dana-Farber Cancer Institute.

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.