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 Рейтинг: Цена: 67760.00 T Наличие на складе: Есть 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: Robert Lanza Название: Essential Stem Cell Methods, ISBN: 012375061X ISBN-13(EAN): 9780123750617 Издательство: Elsevier Science Рейтинг: Цена: 62830.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Plichta Название: Munros Statistical methods health care 6E ISBN: 1451187947 ISBN-13(EAN): 9781451187946 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 90370.00 T Наличие на складе: Поставка под заказ. 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: Chen Ming-Hui, Shao Qi-Man, Ibrahim Joseph G. Название: Monte Carlo Methods in Bayesian Computation ISBN: 0387989358 ISBN-13(EAN): 9780387989358 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Richard A. Johnson, Gouri K. Bhattacharyya Название: Statistics: Principles and Methods, 7th Edition ISBN: 0470904119 ISBN-13(EAN): 9780470904114 Издательство: Wiley Рейтинг: Цена: 235790.00 T Наличие на складе: Поставка под заказ. 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: Thompson John Название: Bayesian Analysis with Stata ISBN: 1597181412 ISBN-13(EAN): 9781597181419 Издательство: Taylor&Francis Рейтинг: Цена: 57150.00 T Наличие на складе: Невозможна поставка. Описание:
Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.
The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.
The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The book's content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.
Автор: Chapra, Steven C. Название: Numerical methods for engineers ISBN: 007126759X ISBN-13(EAN): 9780071267595 Издательство: McGraw-Hill Рейтинг: Цена: 61770.00 T Наличие на складе: Невозможна поставка. Описание: Numerical Methods for Engineers
Автор: Michael Swash Название: Hutchison`s Clinical Methods ISBN: 0702027995 ISBN-13(EAN): 9780702027994 Издательство: Elsevier Science Рейтинг: Цена: 45190.00 T Наличие на складе: Невозможна поставка. Описание: A textbook on clinical examination, which provides a source of reference for undergraduate medical students and postgraduate doctors. It places emphasis on the importance of the doctor-patient relationship, the essential skills needed for clinical examination, and for planning the appropriate choice of investigations in diagnosis and management.
Автор: David G. T. Denison Название: Bayesian Methods for Nonlinear Classification and Regression ISBN: 0471490369 ISBN-13(EAN): 9780471490364 Издательство: Wiley Рейтинг: Цена: 137230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Peter Burnham; Karin Gilland Lutz; Wyn Grant Название: Research Methods in Politics ISBN: 0230019854 ISBN-13(EAN): 9780230019850 Издательство: Springer Рейтинг: Цена: 40990.00 T Наличие на складе: Поставка под заказ. 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: Fuente, Angel de la. Название: Mathematical methods and models for economists ISBN: 0521585295 ISBN-13(EAN): 9780521585293 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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