Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 7836 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value. Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of Engineering at Stanford University.
Описание: Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009).While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas.
Описание: With a strong focus on practical applications, the authors explore various strategies for employing PSA. In addition, they discuss the use of PSA with alternative types of data and limitations of PSA under a variety of constraints. Unlike the existing textbooks on program evaluation and causal inference, Propensity Score Analysis delves into statistical concepts, formulas, and models in the context of a robust and engaging focus on application.
Автор: Carmona, Rene Название: Statistical Analysis of Financial Data in R ISBN: 1461487870 ISBN-13(EAN): 9781461487876 Издательство: Springer Рейтинг: Цена: 11494 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Addressing the most challenging issues faced by financial engineers, this book shows how sophisticated mathematics and modern statistical techniques can be used in concrete financial problems. Includes practical examples solved in the R computing environment.
Описание: Statistics is traditionally perceived to be a difficult topic. However, it is essential for all anaesthetists to develop a basic understanding of the fundamental principles of statistics to interpret current anaesthetic literature. This book has therefore been designed to help the reader systematically learn the basics, using real examples from anaesthetic and intensivere literature to illustrate the principles discussed and relate them to practice. Research design and clinical trials are well covered. The book also provides a simple introduction to more complex statistical methods, (such as survival analysis, meta-analysis, odds ratios, evidence-based medicine, and outcome prediction) that are being used more frequently in anaesthesia and intensive care.
Автор: David Freedman Название: Statistical Models ISBN: 0521854830 ISBN-13(EAN): 9780521854832 Издательство: Cambridge Academ Цена: 5522 р. Наличие на складе: Поставка под заказ.
Описание: This lively and engaging textbook provides the knowledge required to read empirical papers in the social and health sciences, as well as the techniques needed to build statistical models. The author explains the basic ideas of association and regression, and describes the current models that link these ideas to causality. He focuses on applications of linear models, including generalized least squares and two-stage least squares. The bootstrap is developed as a technique for estimating bias and computing standard errors. Careful attention is paid to the principles of statistical inference. There is background material on study design, bivariate regression, and matrix algebra. To develop technique, there are computer labs, with sample computer programs. The book's discussion is organized around published studies, as are the numerous exercises - many of which have answers included. Relevant papers reprinted at the back of the book are thoroughly appraised by the author.
Автор: Barnett V. Название: Outliers in Statistical Data. 3ed. ISBN: 0471930946 ISBN-13(EAN): 9780471930945 Издательство: Wiley Рейтинг: Цена: 24515 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This study of the use of outlier methods in statistics research has been revised and updated to include new topics, such as the application of outlier methods to computer software packages and the use of contingency tables and outlier problems in sample survey data.
Описание: Provides a view of statistical modeling. This book presents a method of modeling based on the principle that the objective is to extract the information from data that can be learned with suggested classes of probability models. It provides information on the theoretic foundation for statistical modeling.
Описание: Updated to conform to Mathematica® 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on Markov chains, more example data of the normal distribution, and more attention on conditional expectation. It also includes additional problems from Actuarial Exam P as well as new examples, exercises, and data sets. The accompanying CD-ROM contains updated Mathematica notebooks and a revised solutions manual is available for qualifying instructors.
Описание: Rev. ed. of: Statistical modeling and analysis for database marketing. c2003.
Автор: Boos Название: Essential Statistical Inference ISBN: 1461448174 ISBN-13(EAN): 9781461448174 Издательство: Springer Рейтинг: Цена: 11494 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A superb resource on statistical inference for researchers or students, this book has R code throughout, including in sample problems, and an appendix of derived notation and formulae. It covers core topics as well as modern aspects such as M-estimation.
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