Generalized Methods for Generating Moments of Continuous Distribution

Article ID

40DG3

Generalized Methods for Generating Moments of Continuous Distribution

Oyeka ICA
Oyeka ICA
Okeh UM
Okeh UM Nnamdi Azikiwe University
DOI

Abstract

We propose a method of obtaining the moment of some continuous bi-variate distributions with parameters 1122,,andαβαβin finding the nth moment of the variable ()0,0cdxycd≥≥where X and Y are continuous random variables having the joint pdf, f(x,y).Here we find the so called (,)ngcddefined ()(,),ncdngcdEXYλ=+the nth moment of expected value of the t distribution of the cth power of X and dth power of Y about the constant λ.These moments are obtained by the use of bi-variate moment generating functions, when they exist. The proposed (,)ngcd is illustrated with some continuous bi-variate distributions and is shown to be easy to use even when the powers of the random variables being considered are non-negative real numbers that need not be integers. The results obtained using (,)ngcd are the same as results obtained using other methods such as moment generating functions when they exist.

Generalized Methods for Generating Moments of Continuous Distribution

We propose a method of obtaining the moment of some continuous bi-variate distributions with parameters 1122,,andαβαβin finding the nth moment of the variable ()0,0cdxycd≥≥where X and Y are continuous random variables having the joint pdf, f(x,y).Here we find the so called (,)ngcddefined ()(,),ncdngcdEXYλ=+the nth moment of expected value of the t distribution of the cth power of X and dth power of Y about the constant λ.These moments are obtained by the use of bi-variate moment generating functions, when they exist. The proposed (,)ngcd is illustrated with some continuous bi-variate distributions and is shown to be easy to use even when the powers of the random variables being considered are non-negative real numbers that need not be integers. The results obtained using (,)ngcd are the same as results obtained using other methods such as moment generating functions when they exist.

Oyeka ICA
Oyeka ICA
Okeh UM
Okeh UM Nnamdi Azikiwe University

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Okeh UM. 2014. “. Global Journal of Science Frontier Research – F: Mathematics & Decision GJSFR-F Volume 14 (GJSFR Volume 14 Issue F6): .

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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR Volume 14 Issue F6
Pg. 25- 36
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Generalized Methods for Generating Moments of Continuous Distribution

Oyeka ICA
Oyeka ICA
Okeh UM
Okeh UM Nnamdi Azikiwe University

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