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Statistical Simulation, Headrick



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Автор: Headrick
Название:  Statistical Simulation
Издательство: Taylor&Francis
Классификация:
Дифферунциально и интегральное исчисление и математический анализ
Вероятность и статистика

ISBN: 1420064908
ISBN-13(EAN): 9781420064902
ISBN: 1-420-06490-8
ISBN-13(EAN): 978-1-420-06490-2
Обложка/Формат: Hardback
Страницы: 176
Вес: 0.44 кг.
Дата издания: 08.12.2009
Серия: Mathematical and Cellular Sciences
Язык: English
Иллюстрации: 6 black & white illustrations, 141 black & white tables
Размер: 242 x 164 x 17
Читательская аудитория: Professional & vocational
Ключевые слова: Probability Theory & Applications, Statistical Computing, Science
Основная тема: Statistical Theory & Methods
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Focusing on both univariate and multivariate nonnormal data generation, this book presents techniques for conducting a Monte Carlo simulation study. It shows how to use power method polynomials for simulating univariate and multivariate nonnormal distributions with specified cumulants and correlation matrices. By using the methodology and techniques developed in the text, readers can evaluate different transformations in terms of comparing percentiles, measures of central tendency, goodness-of-fit tests, and more. Along with many numerical examples and results, the book employs Mathematica® in a range of procedures and offers the source code for download online.



The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 7836 р.
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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.

Stochastic Simulation: Algorithms and Analysis

Автор: Asmussen
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 038730679X ISBN-13(EAN): 9780387306797
Издательство: Springer
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Цена: 5220 р.
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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. 

Essential Statistical Methods for Medical Statistics,

Автор: J. Philip Miller
Название: Essential Statistical Methods for Medical Statistics,
ISBN: 0444537376 ISBN-13(EAN): 9780444537379
Издательство: Elsevier Science
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Цена: 6056 р.
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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.

Propensity Score Analysis: Statistical Methods and Applications

Автор: Guo Shenyang Y., Fraser Mark W.
Название: Propensity Score Analysis: Statistical Methods and Applications
ISBN: 1452235007 ISBN-13(EAN): 9781452235004
Издательство: Sage Publications
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Цена: 8168 р.
Наличие на складе: Поставка под заказ.

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.

Statistical Analysis of Financial Data in R

Автор: Carmona, Rene
Название: Statistical Analysis of Financial Data in R
ISBN: 1461487870 ISBN-13(EAN): 9781461487876
Издательство: Springer
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Цена: 11494 р.
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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.

Statistical Methods for Anaesthesia and Intensive Care

Автор: Paul Myles
Название: Statistical Methods for Anaesthesia and Intensive Care
ISBN: 0750640650 ISBN-13(EAN): 9780750640657
Издательство: Elsevier Science
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Цена: 6478 р.
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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.

Statistical Models

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.

Outliers in Statistical Data. 3ed.

Автор: Barnett V.
Название: Outliers in Statistical Data. 3ed.
ISBN: 0471930946 ISBN-13(EAN): 9780471930945
Издательство: Wiley
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Цена: 24515 р.
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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.

Information and Complexity in Statistical Modeling

Автор: Rissanen Jorma
Название: Information and Complexity in Statistical Modeling
ISBN: 0387366105 ISBN-13(EAN): 9780387366104
Издательство: Springer
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Цена: 11494 р.
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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.

Introduction to Probability with Mathematica, Second Edition

Автор: Hastings
Название: Introduction to Probability with Mathematica, Second Edition
ISBN: 1420079387 ISBN-13(EAN): 9781420079388
Издательство: Taylor&Francis
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Цена: 9585 р.
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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.

Statistical and Machine-Learning Data Mining

Автор: Ratner Bruce
Название: Statistical and Machine-Learning Data Mining
ISBN: 1439860912 ISBN-13(EAN): 9781439860915
Издательство: Taylor&Francis
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Цена: 6813 р.
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Описание: Rev. ed. of: Statistical modeling and analysis for database marketing. c2003.

Essential Statistical Inference

Автор: Boos
Название: Essential Statistical Inference
ISBN: 1461448174 ISBN-13(EAN): 9781461448174
Издательство: Springer
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Цена: 11494 р.
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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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