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Author : J. R. Blum,J. Kiefer,M. Rosenblatt
Publisher : Unknown
Page : 18 pages
File Size : 52,7 Mb
Release : 1961
Category : Sampling (Statistics)
ISBN : UOM:39015094992388
Author : J. Durbin
Publisher : SIAM
Page : 70 pages
File Size : 49,6 Mb
Release : 1973-01-01
Category : Mathematics
ISBN : 161197058X
Presents a coherent body of theory for the derivation of the sampling distributions of a wide range of test statistics. Emphasis is on the development of practical techniques. A unified treatment of the theory was attempted, e.g., the author sought to relate the derivations for tests on the circle and the two-sample problem to the basic theory for the one-sample problem on the line. The Markovian nature of the sample distribution function is stressed, as it accounts for the elegance of many of the results achieved, as well as the close relation with parts of the theory of stochastic processes.
Author : Brian L. Joiner
Publisher : Unknown
Page : 512 pages
File Size : 55,9 Mb
Release : 1970
Category : Annals of mathematical statistics
ISBN : UOM:39015095088145
All articles, notes, queries, corrigenda, and obituaries appearing in the following journals during the indicated years are indexed: Annals of mathematical statistics, 1961-1969; Biometrics, 1965-1969#3; Biometrics, 1951-1969; Journal of the American Statistical Association, 1956-1969; Journal of the Royal Statistical Society, Series B, 1954-1969,#2; South African statistical journal, 1967-1969,#2; Technometrics, 1959-1969.--p.iv.
Author : Anonim
Publisher : Unknown
Page : 574 pages
File Size : 46,6 Mb
Release : 1970
Category : Weights and measures
ISBN : UOM:39015023124111
Author : Didier Dubois,Maria Asuncion Lubiano,Henri Prade,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
Publisher : Springer Science & Business Media
Page : 436 pages
File Size : 45,9 Mb
Release : 2008-10-01
Category : Mathematics
ISBN : 9783540850274
Probability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notion of degree of belief. During the last thirty years, in areas centered around decision theory, artificial intelligence and information processing, numerous approaches extending or orthogonal to the existing theory of probability and mathematical statistics have come to the front. The common feature of those attempts is to allow for softer or wider frameworks for taking into account the incompleteness or imprecision of information. Many of these approaches come down to blending interval or fuzzy interval analysis with probabilistic methods. This book gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. Its aim is to present recent results illustrating such new trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information. It covers a broad scope ranging from philosophical and mathematical underpinnings of new uncertainty theories, with a stress on their impact in the area of statistics and data analysis, to numerical methods and applications to environmental risk analysis and mechanical engineering. A unique feature of this collection is to establish a dialogue between fuzzy random variables and imprecise probability theories.
Author : James Vandiver Bradley
Publisher : Prentice Hall
Page : 410 pages
File Size : 44,7 Mb
Release : 1968
Category : Mathematics
ISBN : UOM:39015004397157
For students, statisticians, and other research workers.
Author : Zbynek Sidak,Pranab K. Sen,Jaroslav Hajek
Publisher : Elsevier
Page : 453 pages
File Size : 41,6 Mb
Release : 1999-04-06
Category : Mathematics
ISBN : 9780080519104
The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Asymptotic Methods Nonparametrics Convergence of Probability Measures Statistical Inference
Author : Charles Taillie,Ganapati P. Patil,Bruno A. Baldessari
Publisher : Springer Science & Business Media
Page : 450 pages
File Size : 44,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789400985520
Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Author : Michael G. Akritas,S. N. Lahiri,Dimitris N. Politis
Publisher : Springer
Page : 369 pages
File Size : 53,7 Mb
Release : 2014-12-02
Category : Mathematics
ISBN : 9781493905690
This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI and other organizations. M.G. Akritas, S.N. Lahiri and D.N. Politis are the first executive committee members of ISNPS and the editors of this volume. ISNPS has a distinguished Advisory Committee that includes Professors R.Beran, P.Bickel, R. Carroll, D. Cook, P. Hall, R. Johnson, B. Lindsay, E. Parzen, P. Robinson, M. Rosenblatt, G. Roussas, T. SubbaRao and G. Wahba. The Charting Committee of ISNPS consists of more than 50 prominent researchers from all over the world. The chapters in this volume bring forth recent advances and trends in several areas of nonparametric statistics. In this way, the volume facilitates the exchange of research ideas, promotes collaboration among researchers from all over the world and contributes to the further development of the field. The conference program included over 250 talks, including special invited talks, plenary talks and contributed talks on all areas of nonparametric statistics. Out of these talks, some of the most pertinent ones have been refereed and developed into chapters that share both research and developments in the field.
Author : Leonard A. Marascuilo,Maryellen McSweeney
Publisher : Unknown
Page : 584 pages
File Size : 46,5 Mb
Release : 1977
Category : Social Science
ISBN : STANFORD:36105036963648
Author : B. Szyszkowicz
Publisher : Elsevier
Page : 914 pages
File Size : 44,7 Mb
Release : 1998-10-29
Category : Mathematics
ISBN : 008049952X
One of the aims of the conference on which this book is based, was to provide a platform for the exchange of recent findings and new ideas inspired by the so-called Hungarian construction and other approximate methodologies. This volume of 55 papers is dedicated to Miklós Csörgő a co-founder of the Hungarian construction school by the invited speakers and contributors to ICAMPS'97. This excellent treatize reflects the many developments in this field, while pointing to new directions to be explored. An unequalled contribution to research in probability and statistics.
Author : Mathisca de Gunst,Chris Klaassen,A. W. van der Vaart
Publisher : IMS
Page : 660 pages
File Size : 41,5 Mb
Release : 2001
Category : Mathematics
ISBN : 0940600501
Author : J.P. Raoult
Publisher : Springer
Page : 184 pages
File Size : 52,6 Mb
Release : 2006-11-14
Category : Mathematics
ISBN : 9783540383185
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 52,8 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9789814477017
Author : Albert Vexler,Alan D. Hutson,Xiwei Chen
Publisher : CRC Press
Page : 703 pages
File Size : 44,6 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781498730846
Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments. The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methods for constructing correct and powerful statistical decision-making processes to be adapted for complex statistical applications. With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials. Theoretical statisticians, medical researchers, and other practitioners in epidemiology and clinical research will appreciate the book’s novel theoretical and applied results. The book is also suitable for graduate students in biostatistics, epidemiology, health-related sciences, and areas pertaining to formal decision-making mechanisms.
