The Robustness of a Subset Selection Procedure in the Case of Non-orthogonal Analysis of Variance PDF Download

Author: Annalene Sadie
Publisher:
ISBN:
Category : Analysis of covariance
Languages : en
Pages : 85

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Author: Mauritz Van Aarde
Publisher: AFRICAN SUN MeDIA
ISBN: 1920338322
Category : Reference
Languages : en
Pages : 447

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Whilst this is a book about higher education, there are important lessons for schooling. On the one hand, the book is a powerful demonstration of the potential of DST for enhancing learning in schools, particularly in schools serving the poor and marginalised. On the other hand, improving teaching and learning in higher education, through the creative use of technology, is essential to overcome the learning challenges of those entering tertiary level institutions.

Author: Glenn Wesley Milligan
Publisher:
ISBN:
Category : Analysis of variance
Languages : en
Pages : 46

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Author: Glenn Wesley Milligan
Publisher:
ISBN:
Category :
Languages : en
Pages : 7

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Author: Glenn Wesley Milligan
Publisher:
ISBN:
Category :
Languages : en
Pages : 27

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Author: Shanti S. Gupta
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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In most of the practical situations to which the analysis of variance tests are applied, they do not supply the information that the experimenter aims at. If, for example, the hypothesis is rejected in actual application of the F-test, the resulting conclusion that the true means (theta sub 1), (theta sub 2), ..., (theta sub k) are not all equal, would by itself usually the insufficient to satisfy the experimenter. In fact his problems would begin at this stage. He may desire to select the 'best' population or a subset of the 'best' populations; he may like to rank the populations in order of 'bestness' or he may like to draw some other inferences about the parameters of interest to him. The authors interest lies in selecting a non-empty subset of the k populations containing the 'best' population as ranked in terms of (theta sub i's).

Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 960

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Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 810

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The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.

Author: Shanti Swarup Gupta
Publisher:
ISBN:
Category :
Languages : en
Pages : 19

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There are many situations in the analysis of variance where an experimenter would like to make comparisons among (and select the 'best' set) the treatments. In this paper we study the problem where the data are based on a completely randomized block design. It is shown that the subset selection approach is a useful method to make appropriate 'identification' among the hypotheses and the selected subset. We propose an optimal selection procedure which controls the error probabilities when all the parameters (treatments) are equal and which maximize the infimum of the probability of a correct selection over some preference parameter space, simultaneously. Some examples are provided to illustrate the optimal subset selection rule and its interpretation in terms of the 'identified' hypotheses. (Author).

Author: Deng-Yuan Huang
Publisher:
ISBN:
Category :
Languages : en
Pages : 78

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The report makes some contributions to the subset selection procedures - both for the fixed sample and the sequential case. Chapter 1 deals with some subset selection procedures for binomial populations in terms of the entropy functions, which is different from the usual selection problem in terms of the success probabilities. In Chapter 2, some fixed sample optimal subset selection procedures are discussed for model I and II problems in the analysis of variance in treatments versus control, and a method for constructing some subset selection procedures is derived. Chapter 3 discusses a method for constructing some sequential subset selection procedures and some optimal sequential subset selection procedure in treatments versus control. An upper bound on the expected sample size for Bechhofer-Kiefer-Sobel sequential selection procedure with indifference zone approach is also derived. (Author).