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Statistical Multiple-decision Procedures for Some Multivariate Selection Problems

Ricardo Milton Frischtak
4.9/5 (10049 ratings)
Description:The following statistical multiple-decision problems are considered for a multivariate normal distribution with unknown (or partially known) covariance matrix, using the indifference-zone and subset approaches: (a) Selecting the variate with the largest population mean; (b) selecting the variate with the smallest population variance; (c) selecting the subclass of variates with the smallest population generalized variance; (d) selecting the population with the smallest vector coefficient of alienation between two subclasses of variates; (e) selecting the best subclass of predictors for a specified subclass of variates. Small-sample theory is employed in (a) and (b), while large-sample theory is used in (b), (c), (d) and (e). (Author).We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Multiple-decision Procedures for Some Multivariate Selection Problems. To get started finding Statistical Multiple-decision Procedures for Some Multivariate Selection Problems, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
228
Format
PDF, EPUB & Kindle Edition
Publisher
Release
1973
ISBN
gYVUAAAAYAAJ

Statistical Multiple-decision Procedures for Some Multivariate Selection Problems

Ricardo Milton Frischtak
4.4/5 (1290744 ratings)
Description: The following statistical multiple-decision problems are considered for a multivariate normal distribution with unknown (or partially known) covariance matrix, using the indifference-zone and subset approaches: (a) Selecting the variate with the largest population mean; (b) selecting the variate with the smallest population variance; (c) selecting the subclass of variates with the smallest population generalized variance; (d) selecting the population with the smallest vector coefficient of alienation between two subclasses of variates; (e) selecting the best subclass of predictors for a specified subclass of variates. Small-sample theory is employed in (a) and (b), while large-sample theory is used in (b), (c), (d) and (e). (Author).We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Multiple-decision Procedures for Some Multivariate Selection Problems. To get started finding Statistical Multiple-decision Procedures for Some Multivariate Selection Problems, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
228
Format
PDF, EPUB & Kindle Edition
Publisher
Release
1973
ISBN
gYVUAAAAYAAJ
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