scholarly journals Erratum for “Log Pearson Type 3 Distribution: Method of Mixed Moments”

1981 ◽  
Vol 107 (5) ◽  
pp. 650-650
Author(s):  
Donthamsetti Veerabhadra Rao
Keyword(s):  
Distribution Method ◽  
Pearson Type ◽  
Type 3

Variances and covariances of the maximum entropy estimators for the Pearson type-3 distribution

1990 ◽  
Vol 17 (4) ◽  
pp. 590-596 ◽  
Author(s):  
Huynh Ngoc Phien ◽  
Van-Thanh-Van Nguyen
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Key Words ◽  
Maximum Entropy ◽  
Simulated Data ◽  
Distribution Method ◽  
Statistical Hydrology ◽  
Pearson Type ◽  
Type 3 ◽  
Parameter Estimators

Although the method of maximum entropy (MME) appears to be promising in fitting the Pearson type-3 distribution, the sampling properties of the estimators are not available. This paper provides the formulas needed for computing the variances and covariances of the parameter estimators and the variance of the T-year event. All needed formulas are derived analytically and related computation schemes are described. Through applications of the developed technique to actual and simulated data, it was found that the efficiency of the MME may be slightly improved when the biased sample variance is used instead of the unbiased one. Key words: Pearson type-3 distribution, method of maximum entropy, floods, statistical hydrology, Monte-Carlo simulation.

Log Pearson Type 3 Distribution: Method of Mixed Moments

1980 ◽  
Vol 106 (6) ◽  
pp. 999-1019
Author(s):  
Donthamsetti Veerabhadra Rao
Keyword(s):  
Distribution Method ◽  
Pearson Type ◽  
Type 3

Eureka! It fits a Pearson type: 3 distribution

1973 ◽  
Vol 9 (2) ◽  
pp. 281-289 ◽  
Author(s):  
N. C. Matalas ◽  
J. R. Wallis
Keyword(s):  
Pearson Type ◽  
Type 3
Sign in / Sign up

Export Citation Format

Share Document