Author: Mohammad Haseeb RizviPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 124
Book Description
Ranking and Selection Problems of Normal Population Using the Absolute Values of Their Means
Author: Mohammad Haseeb RizviPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 124
Book Description
Multiple Decision Procedures
Author: Shanti S. GuptaPublisher: 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.
Advances on Theoretical and Methodological Aspects of Probability and Statistics
Author: N. BalakrishnanPublisher: CRC Press
ISBN: 9780203493205
Category : Mathematics
Languages : en
Pages : 562
Book Description
At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and characterizations, inference, Bayesian inference, selection methods, regression methods, and methods in health research. The text is ideal for applied mathematicians, statisticians, and researchers in the field.
Sequential Identification and Ranking Procedures
Author: Robert Eric BechhoferPublisher:
ISBN:
Category : Sequential analysis
Languages : en
Pages : 448
Book Description
A Multiple-decision Approach to the Selection of the Best Set of Predictor Variates
Author: John Schmidt RambergPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 230
Book Description
Some 'indifference zone' multiple-decision selection procedure formulations of prediction problems involving multivariate normal populations are considered. These problems are of two types. Part I considers problems involving k bivariate normal populations, where the goal is to select the 'best' population. In this part the 'goodness' of the prediction is measured in terms of three different parameters -- the population conditional variance, the population correlation coefficient, and the absolute value of the population correlation coefficient. Part II considers the problem of selecting the best set of a preassigned number t variates from a set of k predictor variates for predicting a designated variate, the predictand. The 'best' set of predictor variates is defined to be the set of t variates for which the predictand has the smallest population conditional variance (or equivalently the largest population multiple correlation coefficient). Sample size requirements are obtained using asymptotic distribution theory of the transformed statistics.
The Annals of Mathematical Statistics
Author: Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 1022
Book Description
Technical Report
Author: Some Optimal Properties of Ranking Procedures with Applications in Multivariate Analysis
Author: Morris L. EatonThe Complete Categorized Guide to Statistical Selection and Ranking Procedures
Author: Edward J. DudewiczPublisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 652
Book Description
Journal of the American Statistical Association
Author: Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 1748
Book Description