The bivariate gamma distribution and the random walk problem

1965 ◽  
Vol 62 (6) ◽  
pp. 358-366
Author(s):  
R. Srinvasan
Keyword(s):  
Random Walk ◽  
Gamma Distribution ◽  
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

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

Stochastic Models and Fluctuations in Reversal Time of Ambiguous Figures

Perception ◽  
1977 ◽  
Vol 6 (6) ◽  
pp. 645-656 ◽  
Author(s):  
Angelo de Marco ◽  
Piero Penengo ◽  
Aurelia Trabucco ◽  
Antonio Borsellino ◽  
Franco Carlini ◽  
...  
Keyword(s):  
Random Walk ◽  
Gamma Distribution ◽  
Stochastic Models ◽  
Strong Correlation ◽  
Probability Distributions ◽  
Poisson Model ◽  
Ambiguous Figures ◽  
Underlying Process ◽  
Reversal Time ◽  
Low Efficiency

Five probability distributions for the description of temporal fluctuations in the perception of ambiguous figures were fitted to previously obtained experimental results and classified according to their efficiency in describing the data. The gamma, Wiener, and Capocelli-Ricciardi distributions showed the highest efficiency, while the χ2 and Taylor-Aldridge distributions showed a very low efficiency. Therefore the underlying process may be described either by a simple Poisson model or by a random-walk model. For the gamma distribution there was a strong correlation between the parameters, while for the Wiener distribution this correlation was lower.

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