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R Packages for density based empiric...

Shepherd, Lori Ann.

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R Packages for density based empirical likelihood based hypothesis tests.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	R Packages for density based empirical likelihood based hypothesis tests./
Author:	Shepherd, Lori Ann.
Description:	30 p.
Notes:	Source: Masters Abstracts International, Volume: 52-01.
Contained By:	Masters Abstracts International52-01(E).
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1539874
ISBN:	9781303160943

R Packages for density based empirical likelihood based hypothesis tests.
Shepherd, Lori Ann.

R Packages for density based empirical likelihood based hypothesis tests. - 30 p.

Source: Masters Abstracts International, Volume: 52-01.

Thesis (M.S.)--State University of New York at Buffalo, 2013.

This thesis presents the functionality of two new R packages for performing goodness-of-fit tests based on density based empirical likelihood methods: dbEmpLikeGOF and dbEmpLikeNorm. The dbEmpLikeGOF function dbEmpLikeGOF tests a given vector of data for normality, uniformity, or if another vector of data is given, distribution equality. Expanding on this concept, dbEmpLikeNorm function dbELnorm performs a joint assessment for normality of a set of k independent samples with different means and variances. Each test reports a test statistic and associated p-value obtained from a Monte-Carlo approach. This thesis presents relevant concepts to density based empirical likelihood ratio test for goodness-of-fit, discusses the derivations of test statistics, and presents the packages and code with applications to real data.

ISBN: 9781303160943Subjects--Topical Terms:

626642
Computer Science.

R Packages for density based empirical likelihood based hypothesis tests.
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020 $a 9781303160943
035 $a (MiAaPQ)AAI1539874
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040 $a MiAaPQ $c MiAaPQ
100 1 $a Shepherd, Lori Ann. $3 2105404
245 1 0 $a R Packages for density based empirical likelihood based hypothesis tests.
300 $a 30 p.
500 $a Source: Masters Abstracts International, Volume: 52-01.
500 $a Adviser: Jeffrey Miecznikowski.
502 $a Thesis (M.S.)--State University of New York at Buffalo, 2013.
520 $a This thesis presents the functionality of two new R packages for performing goodness-of-fit tests based on density based empirical likelihood methods: dbEmpLikeGOF and dbEmpLikeNorm. The dbEmpLikeGOF function dbEmpLikeGOF tests a given vector of data for normality, uniformity, or if another vector of data is given, distribution equality. Expanding on this concept, dbEmpLikeNorm function dbELnorm performs a joint assessment for normality of a set of k independent samples with different means and variances. Each test reports a test statistic and associated p-value obtained from a Monte-Carlo approach. This thesis presents relevant concepts to density based empirical likelihood ratio test for goodness-of-fit, discusses the derivations of test statistics, and presents the packages and code with applications to real data.
590 $a School code: 0656.
650 4 $a Computer Science. $3 626642
650 4 $a Statistics. $3 517247
650 4 $a Biology, Bioinformatics. $3 1018415
690 $a 0984
690 $a 0463
690 $a 0715
710 2 $a State University of New York at Buffalo. $b Roswell Park Bioinformatics and Biostatistics. $3 2105405
773 0 $t Masters Abstracts International $g 52-01(E).
790 $a 0656
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1539874