Multiple Decision Procedures
Multiple Decision Procedures

Author: Shanti S. Gupta

Publisher: SIAM

Published: 2002-01-01

Total Pages: 592

ISBN-13: 0898715326

DOWNLOAD EBOOK

An encyclopaedic coverage of the literature in the area of ranking and selection procedures. It also deals with the estimation of unknown ordered parameters. This book can serve as a text for a graduate topics course in ranking and selection. It is also a valuable reference for researchers and practitioners.

A Sequential Multiple-decision Procedure for Selecting the Best One of Several Normal Populations with a Common Unknown Variance. Ii. Monte Carlo Sampling Results and New Computing Formulae
A Sequential Multiple-decision Procedure for Selecting the Best One of Several Normal Populations with a Common Unknown Variance. Ii. Monte Carlo Sampling Results and New Computing Formulae

Author: Robert Eric Bechhofer

Publisher:

Published: 1961

Total Pages: 62

ISBN-13:

DOWNLOAD EBOOK

Contents: Statement of the statistical problem S atistical assumptions The experimenter's goal, specification, and requirement Procedure D and the new computing formulae Description of Procedure D Definition of symbols The sampling, stopping, and terminal de cision rules Computation of the stopping statistic Use of Procedure D (method B) with various experimental designs Simplified computing formulae Numerical example Monte Carlo sampling results with Procedure D Description of the sampling procedure Sampling results Discussion of sampling results.

A Single-sample Multiple-decision Procedure for Selecting the Multinomial Event which Has the Highest Probability
A Single-sample Multiple-decision Procedure for Selecting the Multinomial Event which Has the Highest Probability

Author: Robert Eric Bechhofer

Publisher:

Published: 1957

Total Pages: 58

ISBN-13:

DOWNLOAD EBOOK

The problem of selecting the multinomial event which has the highest probability is formulated as a multiple-decision selection problem. Before experimentation starts the experimenter must specify two constants ([theta]*, P*) which are incorporated into the requirement: "The probability of a correct selection is to be equal to or greater than P* whenever the true (but unknown) ratio of the largest to the second largest of the poplation probabilities is equal to or greater than [theta]*." A single-sample procedure which meets the requirement is proposed. The heart of the procedure is the proper choice of N, the number of trials. Two methods of determining N are described: the first is exact and is to be used when N is small; the second is approximate and is to be used when N is large. Tables and sample calculations are provided.

An Author and Permuted Title Index to Selected Statistical Journals
An Author and Permuted Title Index to Selected Statistical Journals

Author: Brian L. Joiner

Publisher:

Published: 1970

Total Pages: 512

ISBN-13:

DOWNLOAD EBOOK

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.

Exponential Distribution
Exponential Distribution

Author: K. Balakrishnan

Publisher: Routledge

Published: 2019-01-22

Total Pages: 668

ISBN-13: 1351449117

DOWNLOAD EBOOK

The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several important statistical properties, and yet exhibits great mathematical tractability. This volume provides a systematic and comprehensive synthesis of the diverse literature on the theory and applications of the expon

Handbook of the Logistic Distribution
Handbook of the Logistic Distribution

Author: N. Balakrishnan

Publisher: CRC Press

Published: 2013-10-09

Total Pages: 630

ISBN-13: 9780849384844

DOWNLOAD EBOOK

This book highlights various theoretical developments on logistic distribution, illustrates the practical utility of these results, and describes univariate and multivariate generalizations of the distribution. It is useful for researchers, practicing statisticians, and graduate students.