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Subset Selection Procedures for the Means of Normal Populations with Unequal Variances: Unequal Sample Sizes Case

Subset Selection Procedures for the Means of Normal Populations with Unequal Variances: Unequal Sample Sizes Case PDF Author: S. S. Gupta
Publisher:
ISBN:
Category :
Languages : en
Pages : 27

Book Description


Subset Selection Procedures for the Means of Normal Populations with Unequal Variances: Unequal Sample Sizes Case

Subset Selection Procedures for the Means of Normal Populations with Unequal Variances: Unequal Sample Sizes Case PDF Author: S. S. Gupta
Publisher:
ISBN:
Category :
Languages : en
Pages : 27

Book Description


Subset Selection for the Means of Normal Populations with Unequal Variances

Subset Selection for the Means of Normal Populations with Unequal Variances PDF Author: Shanti Swarup Gupta
Publisher:
ISBN:
Category : Sampling (Statistics)
Languages : en
Pages : 27

Book Description


Selection Procedures for the Means and Variances of Normal Populations When the Sample Sizes are Unequal

Selection Procedures for the Means and Variances of Normal Populations When the Sample Sizes are Unequal PDF Author: Shanti S. Gupta
Publisher:
ISBN:
Category :
Languages : en
Pages : 25

Book Description
Let (Pi sub 1), ..., (Pi sub k) be k independent normal populations with means (mu sub 1), ..., (mu sub k) and variances (sigma sub 1, sup 2), ..., (sigma sub k, sup 2), respectively. The authors interest is to select a non-empty subset of the k populations containing the best when the populations are ranked in terms of (i) the means (mu sub i), when (sigma sub i sup 2) = (sigma sup 2), known or unknown, and (ii) the variance (sigma sub i sup 2), when the (mu sub i) are known or unknown. Procedures and results are derived for the case when sample sizes are unequal. The authors also discuss gamma populations with scale parameter, and selection for normal means that are better than control. (Author).

Subset Selection Procedures for Normal Means Under Unequal Sample Sizes

Subset Selection Procedures for Normal Means Under Unequal Sample Sizes PDF Author: Hubert J. Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 8

Book Description


Design of Experiments

Design of Experiments PDF Author: Santner
Publisher: CRC Press
ISBN: 9780824772741
Category : Technology & Engineering
Languages : en
Pages : 336

Book Description
Multiple comparisons; Selection and ranking; Estimation and testing.

Multiple Decision Procedures

Multiple Decision Procedures PDF Author: Shanti S. Gupta
Publisher: SIAM
ISBN: 0898715326
Category : Mathematics
Languages : en
Pages : 592

Book Description
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.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 956

Book Description


Subset-selection Procedures for Normal Populations with Unknown Variances

Subset-selection Procedures for Normal Populations with Unknown Variances PDF Author: Lloyd William Koenig
Publisher:
ISBN:
Category : Population
Languages : en
Pages : 224

Book Description


Mathematical Statistics and Probability Theory

Mathematical Statistics and Probability Theory PDF Author: Madan L. Puri
Publisher: Springer Science & Business Media
ISBN: 9400939655
Category : Mathematics
Languages : en
Pages : 264

Book Description
The past several years have seen the creation and extension of a very conclusive theory of statistics and probability. Many of the research workers who have been concerned with both probability and statistics felt the need for meetings that provide an opportunity for personal con tacts among scholars whose fields of specialization cover broad spectra in bothstatistics and probability: to discuss major open problems and new solutions, and to provide encouragement for further research through the lectures of carefully selected scholars, moreover to introduce to younger colleagues the latest research techniques and thus to stimulate their interest in research. To meet these goals, the series of Pannonian Symposia on Mathematical Statistics was organized, beginning in the year 1979: the first, second and fourth one in Bad Tatzmannsdorf, Burgenland, Austria, the third and fifth in Visegrad, Hungary. The Sixth Pannonian Symposium was held in Bad Tatzmannsdorf again, in the time between 14 and 20 September 1986, under the auspices of Dr. Heinz FISCHER, Federal Minister of Science and Research, Theodor KERY, President of the State Government of Burgenland, Dr. Franz SAUERZOPF, Vice-President of the State Govern ment of Burgenland and Dr. Josef SCHMIDL, President of the Austrian Sta tistical Central Office. The members of the Honorary Committee were Pal ERDOS, WXadisXaw ORLICZ, Pal REVESZ, Leopold SCHMETTERER and Istvan VINCZE; those of the Organizing Committee were Wilfried GROSSMANN (Uni versity of Vienna), Franz KONECNY (University of Agriculture of Vienna) and, as the chairman, Wolfgang WERTZ (Technical University of Vienna) .

Probability Inequalities in Multivariate Distributions

Probability Inequalities in Multivariate Distributions PDF Author: Y. L. Tong
Publisher: Academic Press
ISBN: 1483269213
Category : Mathematics
Languages : en
Pages : 256

Book Description
Probability Inequalities in Multivariate Distributions is a comprehensive treatment of probability inequalities in multivariate distributions, balancing the treatment between theory and applications. The book is concerned only with those inequalities that are of types T1-T5. The conditions for such inequalities range from very specific to very general. Comprised of eight chapters, this volume begins by presenting a classification of probability inequalities, followed by a discussion on inequalities for multivariate normal distribution as well as their dependence on correlation coefficients. The reader is then introduced to inequalities for other well-known distributions, including the multivariate distributions of t, chi-square, and F; inequalities for a class of symmetric unimodal distributions and for a certain class of random variables that are positively dependent by association or by mixture; and inequalities obtainable through the mathematical tool of majorization and weak majorization. The book also describes some distribution-free inequalities before concluding with an overview of their applications in simultaneous confidence regions, hypothesis testing, multiple decision problems, and reliability and life testing. This monograph is intended for mathematicians, statisticians, students, and those who are primarily interested in inequalities.