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A Bivariate Gamma Mixture Discrete P...

University of Nevada, Reno.

A Bivariate Gamma Mixture Discrete Pareto Distribution.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	A Bivariate Gamma Mixture Discrete Pareto Distribution./
作者:	Amponsah, Charles Kwame.
面頁冊數:	1 online resource (71 pages)
附註:	Source: Masters Abstracts International, Volume: 57-01.
Contained By:	Masters Abstracts International57-01(E).
標題:	Statistics. -
電子資源:	click for full text (PQDT)
ISBN:	9780355263527

A Bivariate Gamma Mixture Discrete Pareto Distribution.
Amponsah, Charles Kwame.

A Bivariate Gamma Mixture Discrete Pareto Distribution. - 1 online resource (71 pages)

Source: Masters Abstracts International, Volume: 57-01.

Thesis (M.S.)

Includes bibliographical references

We study a four-parameter generalization of the of bivariate exponential geometric (BEG) law of Kozubowski and Panorska (2005) and bivariate gamma geometric (BGG) law (Barreto-Souza, 2012). The new bivariate distribution is referred to as gamma mixture discrete Pareto (GMDP) law. A bivariate random vector (X, N) follows GMDP law if N is a two-parameter discrete Pareto random variable studied by Buddana and Kozubowski (2014) and X is the sum of N independent, identically distributed gamma random variables, independent of N. Our results include conditional and marginal distributions, integral transforms, moments and covariance matrix. We also study the problem of parameter estimation using maximum likelihood and simulation studies to validate our estimation strategies, which for the most part do not produce estimators in explicit forms.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355263527Subjects--Topical Terms:

556824
Statistics.
Index Terms--Genre/Form:

554714
Electronic books.

A Bivariate Gamma Mixture Discrete Pareto Distribution.
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099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Amponsah, Charles Kwame. $3 1181067
245 1 2 $a A Bivariate Gamma Mixture Discrete Pareto Distribution.
264 0 $c 2017
300 $a 1 online resource (71 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 57-01.
500 $a Adviser: Tomasz J. Kozubowski.
502 $a Thesis (M.S.) $c University of Nevada, Reno $d 2017.
504 $a Includes bibliographical references
520 $a We study a four-parameter generalization of the of bivariate exponential geometric (BEG) law of Kozubowski and Panorska (2005) and bivariate gamma geometric (BGG) law (Barreto-Souza, 2012). The new bivariate distribution is referred to as gamma mixture discrete Pareto (GMDP) law. A bivariate random vector (X, N) follows GMDP law if N is a two-parameter discrete Pareto random variable studied by Buddana and Kozubowski (2014) and X is the sum of N independent, identically distributed gamma random variables, independent of N. Our results include conditional and marginal distributions, integral transforms, moments and covariance matrix. We also study the problem of parameter estimation using maximum likelihood and simulation studies to validate our estimation strategies, which for the most part do not produce estimators in explicit forms.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Statistics. $3 556824
650 4 $a Mathematics. $3 527692
650 4 $a Accounting. $3 561166
655 7 $a Electronic books. $2 local $3 554714
690 $a 0463
690 $a 0405
690 $a 0272
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Nevada, Reno. $b Mathematics. $3 1181068
773 0 $t Masters Abstracts International $g 57-01(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10620090 $z click for full text (PQDT)

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