A new bivariate Gamma distribution generated from functional scale parameter with application to drought data

2012 ◽  
Vol 27 (5) ◽  
pp. 1039-1054 ◽  
Author(s):  
Muhammad Mohsin ◽  
Albrecht Gebhardt ◽  
Jürgen Pilz ◽  
Gunter Spöck
Keyword(s):  
Gamma Distribution ◽  
Scale Parameter ◽  
Functional Scale ◽  
Bivariate Gamma Distribution

Sums, Products and Ratios for Crovelli’s Bivariate Gamma Distribution

2013 ◽  
Vol 27 (5) ◽  
pp. 1363-1376 ◽  
Author(s):  
Ana Paula C. Madeira Silva ◽  
Jailson de Araujo Rodrigues ◽  
Lucas Monteiro Chaves ◽  
Devanil Jaques de Souza
Keyword(s):  
Gamma Distribution ◽  
Bivariate Gamma Distribution

On a Morgenstern-type bivariate gamma distribution

Metrika ◽  
1984 ◽  
Vol 31 (1) ◽  
pp. 327-332 ◽  
Author(s):  
A. K. Gupta ◽  
C. F. Wong
Keyword(s):  
Gamma Distribution ◽  
Bivariate Gamma Distribution

scholarly journals Distribution of Myosin Attachment Times Predicted from Viscoelastic Mechanics of Striated Muscle

2011 ◽  
Vol 2011 ◽  
pp. 1-16 ◽  
Author(s):  
Bradley M. Palmer ◽  
Yuan Wang ◽  
Mark S. Miller
Keyword(s):  
Exponential Distribution ◽  
Gamma Distribution ◽  
Shape Parameter ◽  
Striated Muscle ◽  
Scale Parameter ◽  
Viscoelastic Model ◽  
A Value ◽  
Temporal Events ◽  
Single Exponential

We demonstrate that viscoelastic mechanics of striated muscle, measured as elastic and viscous moduli, emerge directly from the myosin crossbridge attachment time,tatt, also called time-on. The distribution oftattwas modeled using a gamma distribution with shape parameter,p, and scale parameter,β. At 5 mM MgATP,βwas similar between mouseα-MyHC (16.0±3.7 ms) andβ-MyHC (17.9±2.0 ms), andpwas higher (P<0.05) forβ-MyHC (5.6±0.4no units) compared toα-MyHC (3.2±0.9). At 1 mM MgATP,papproached a value of 10 in both isoforms, butβrose only in theβ-MyHC (34.8±5.8 ms). The estimated meantatt(i.e.,pβproduct) was longer in theβ-MyHC compared toα-MyHC, and became prolonged in both isoforms as MgATP was reduced as expected. The application of our viscoelastic model to these isoforms and varying MgATP conditions suggest thattattis better modeled as a gamma distribution due to its representing multiple temporal events occurring withintattcompared to a single exponential distribution which assumes only one temporal event withintatt.

Application of a Bivariate Gamma Distribution for a Chemically Reacting Plume in the Atmosphere

2012 ◽  
Vol 147 (1) ◽  
pp. 123-137 ◽  
Author(s):  
Enrico Ferrero ◽  
Luca Mortarini ◽  
Stefano Alessandrini ◽  
Carlo Lacagnina
Keyword(s):  
Gamma Distribution ◽  
Bivariate Gamma Distribution ◽  
Chemically Reacting

scholarly journals Bayesian estimation in Kibble's bivariate gamma distribution

2005 ◽  
Vol 33 (4) ◽  
pp. 571-589 ◽  
Author(s):  
George Iliopoulos ◽  
Dimitris Karlis ◽  
Ioannis Ntzoufras
Keyword(s):  
Bayesian Estimation ◽  
Gamma Distribution ◽  
Bivariate Gamma Distribution ◽  
Kibble’S Bivariate Gamma Distribution
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