Journal of the American Statistical Association
Author :
Publisher :
Page : 1748 pages
File Size : 46,29 MB
Release : 1997
Category : Electronic journals
ISBN :
Author :
Publisher :
Page : 1748 pages
File Size : 46,29 MB
Release : 1997
Category : Electronic journals
ISBN :
Author :
Publisher :
Page : 410 pages
File Size : 35,79 MB
Release : 1994
Category : Economic policy
ISBN :
Author :
Publisher :
Page : 878 pages
File Size : 28,90 MB
Release : 1985
Category : Mathematical statistics
ISBN :
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Author : RalphB. D'Agostino
Publisher : Routledge
Page : 585 pages
File Size : 43,75 MB
Release : 2017-10-19
Category : Mathematics
ISBN : 1351444565
Conveniently grouping methods by techniques, such as chi-squared and empirical distributionfunction , and also collecting methods of testing for specific famous distributions, this usefulreference is the fust comprehensive.review of the extensive literature on the subject. It surveysthe leading methods of testing fit . .. provides tables to make the tests available . .. assessesthe comparative merits of different test procedures . .. and supplies numerical examples to aidin understanding these techniques.Goodness-of-Fit Techniques shows how to apply the techniques . .. emphasizes testing for thethree major distributions, normal, exponential, and uniform . .. discusses the handling of censoreddata .. . and contains over 650 bibliographic citations that cover the field.Illustrated with tables and drawings, this volume is an ideal reference for mathematical andapplied statisticians, and biostatisticians; professionals in applied science fields, including psychologists,biometricians , physicians, and quality control and reliability engineers; advancedundergraduate- and graduate-level courses on goodness-of-fit techniques; and professional seminarsand symposia on applied statistics, quality control, and reliability.
Author : Henry C. Thode
Publisher : CRC Press
Page : 506 pages
File Size : 35,26 MB
Release : 2002-01-25
Category : Mathematics
ISBN : 9780203910894
Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and multivariate normality. Contains tests ofr multivariate normality and coordinate-dependent and invariant approaches.
Author : Kai-Tai Fang
Publisher : CRC Press
Page : 356 pages
File Size : 16,80 MB
Release : 1993-12-01
Category : Mathematics
ISBN : 9780412465208
This book is a survey of recent work on the application of number theory in statistics. The essence of number-theoretic methods is to find a set of points that are universally scattered over an s-dimensional unit cube. In certain circumstances this set can be used instead of random numbers in the Monte Carlo method. The idea can also be applied to other problems such as in experimental design. This book will illustrate the idea of number-theoretic methods and their application in statistics. The emphasis is on applying the methods to practical problems so only part-proofs of theorems are given.
Author : Alan Genz
Publisher : Springer Science & Business Media
Page : 130 pages
File Size : 50,9 MB
Release : 2009-07-09
Category : Computers
ISBN : 3642016898
Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages provide functions for the computation of these probabilities for problems with one or two variables. This book describes recently developed methods for accurate and efficient computation of the required probability values for problems with two or more variables. The book discusses methods for specialized problems as well as methods for general problems. The book includes examples that illustrate the probability computations for a variety of applications.
Author : Vladimir S. Korolyuk
Publisher : Springer Science & Business Media
Page : 558 pages
File Size : 38,36 MB
Release : 2013-03-09
Category : Mathematics
ISBN : 9401735158
The theory of U-statistics goes back to the fundamental work of Hoeffding [1], in which he proved the central limit theorem. During last forty years the interest to this class of random variables has been permanently increasing, and thus, the new intensively developing branch of probability theory has been formed. The U-statistics are one of the universal objects of the modem probability theory of summation. On the one hand, they are more complicated "algebraically" than sums of independent random variables and vectors, and on the other hand, they contain essential elements of dependence which display themselves in the martingale properties. In addition, the U -statistics as an object of mathematical statistics occupy one of the central places in statistical problems. The development of the theory of U-statistics is stipulated by the influence of the classical theory of summation of independent random variables: The law of large num bers, central limit theorem, invariance principle, and the law of the iterated logarithm we re proved, the estimates of convergence rate were obtained, etc.
Author : Olivier Thas
Publisher : Springer Science & Business Media
Page : 358 pages
File Size : 31,97 MB
Release : 2010-03-14
Category : Mathematics
ISBN : 0387927107
Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backbone Contains many data examples, including R-code and a specific R-package for comparing distributions Emphesises informative statistical analysis rather than plain statistical hypothesis testing
Author : Charles Stein
Publisher : IMS
Page : 172 pages
File Size : 18,71 MB
Release : 1986
Category : Mathematics
ISBN : 9780940600089