Book Description
ENCYCLOPEDIA OF STATISTICAL SCIENCES
Author :
Publisher : John Wiley & Sons
Page : 562 pages
File Size : 48,79 MB
Release : 2005-12-16
Category : Mathematics
ISBN : 0471744069
ENCYCLOPEDIA OF STATISTICAL SCIENCES
Author : Kenneth J. Berry
Publisher : Springer Science & Business Media
Page : 535 pages
File Size : 33,44 MB
Release : 2014-04-11
Category : Mathematics
ISBN : 3319027441
The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods. Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative. Permutation analogs of many well-known statistical tests are presented in a historical context, including multiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels.
Author : Martha A. Tucker
Publisher : Bloomsbury Publishing USA
Page : 362 pages
File Size : 37,57 MB
Release : 2004-09-30
Category : Language Arts & Disciplines
ISBN : 0313053375
This book is a reference for librarians, mathematicians, and statisticians involved in college and research level mathematics and statistics in the 21st century. We are in a time of transition in scholarly communications in mathematics, practices which have changed little for a hundred years are giving way to new modes of accessing information. Where journals, books, indexes and catalogs were once the physical representation of a good mathematics library, shelves have given way to computers, and users are often accessing information from remote places. Part I is a historical survey of the past 15 years tracking this huge transition in scholarly communications in mathematics. Part II of the book is the bibliography of resources recommended to support the disciplines of mathematics and statistics. These are grouped by type of material. Publication dates range from the 1800's onwards. Hundreds of electronic resources-some online, both dynamic and static, some in fixed media, are listed among the paper resources. Amazingly a majority of listed electronic resources are free.
Author : National Library of Medicine (U.S.)
Publisher :
Page : 1044 pages
File Size : 37,89 MB
Release :
Category : Medicine
ISBN :
Author : William J. Adams
Publisher : American Mathematical Soc.
Page : 218 pages
File Size : 42,18 MB
Release : 2009-11-25
Category : Mathematics
ISBN : 0821848992
About the First Edition: The study of any topic becomes more meaningful if one also studies the historical development that resulted in the final theorem. ... This is an excellent book on mathematics in the making. --Philip Peak, The Mathematics Teacher, May, 1975 I find the book very interesting. It contains valuable information and useful references. It can be recommended not only to historians of science and mathematics but also to students of probability and statistics. --Wei-Ching Chang, Historica Mathematica, August, 1976 In the months since I wrote ... I have read it from cover to cover at least once and perused it here and there a number of times. I still find it a very interesting and worthwhile contribution to the history of probability and statistics. --Churchill Eisenhart, past president of the American Statistical Association, in a letter to the author, February 3, 1975 The name Central Limit Theorem covers a wide variety of results involving the determination of necessary and sufficient conditions under which sums of independent random variables, suitably standardized, have cumulative distribution functions close to the Gaussian distribution. As the name Central Limit Theorem suggests, it is a centerpiece of probability theory which also carries over to statistics. Part One of The Life and Times of the Central Limit Theorem, Second Edition traces its fascinating history from seeds sown by Jacob Bernoulli to use of integrals of $\exp (x^2)$ as an approximation tool, the development of the theory of errors of observation, problems in mathematical astronomy, the emergence of the hypothesis of elementary errors, the fundamental work of Laplace, and the emergence of an abstract Central Limit Theorem through the work of Chebyshev, Markov and Lyapunov. This closes the classical period of the life of the Central Limit Theorem, 1713-1901. The second part of the book includes papers by Feller and Le Cam, as well as comments by Doob, Trotter, and Pollard, describing the modern history of the Central Limit Theorem (1920-1937), in particular through contributions of Lindeberg, Cramer, Levy, and Feller. The Appendix to the book contains four fundamental papers by Lyapunov on the Central Limit Theorem, made available in English for the first time.
Author : Peter Melnyk
Publisher :
Page : 272 pages
File Size : 23,64 MB
Release : 1971
Category : Business & Economics
ISBN :
Author : National Library of Medicine (U.S.)
Publisher :
Page : 1676 pages
File Size : 12,8 MB
Release :
Category : Medicine
ISBN :
First multi-year cumulation covers six years: 1965-70.
Author : Frances Briggs Jenkins
Publisher :
Page : 164 pages
File Size : 36,40 MB
Release : 1965
Category : Science
ISBN :
Author : Gerald J. Hahn
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 44,78 MB
Release : 1967
Category : Mathematics
ISBN :
A detailed treatment on the use of statistical models representing physical phenomena. Considers the relevance of the popular normal distribution models and the applicability of exponential distribution in reliability problems. Introduces and discusses the use of alternate models such as gamma, beta and Weibull distributions. Features expansive coverage of system performance and describes an exact method known as the transformation of variables. Deals with techniques on assessing the adequacy of a chosen model including both graphical and analytical procedures. Contains scores of illustrative examples, most of which have been adapted from actual problems.
Author : George Watson
Publisher : CUP Archive
Page : 746 pages
File Size : 29,2 MB
Release : 1972-12-07
Category : Language Arts & Disciplines
ISBN :
More than fifty specialists have contributed to this new edition of volume 4 of The Cambridge Bibliography of English Literature. The design of the original work has established itself so firmly as a workable solution to the immense problems of analysis, articulation and coordination that it has been retained in all its essentials for the new edition. The task of the new contributors has been to revise and integrate the lists of 1940 and 1957, to add materials of the following decade, to correct and refine the bibliographical details already available, and to re-shape the whole according to a new series of conventions devised to give greater clarity and consistency to the entries.