Open AccessFour statistical models for wet-spell analysis
Author(s) -
Sonal Gore,
Parviz Nasiri
Publication year - 1998
Publication title -
mausam
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.243
H-Index - 12
ISSN - 0252-9416
DOI - 10.54302/mausam.v49i4.3661
Subject(s) - logarithmic distribution , poisson distribution , negative binomial distribution , statistics , beta binomial distribution , gamma distribution , spell , mathematics , compound probability distribution , distribution (mathematics) , probability distribution , distribution fitting , econometrics , environmental science , mathematical analysis , sociology , anthropology
Wet-spell analysis is an important part of rainfall analysis. The distribution of the length of wet-spells provides useful information on the temporal distribution of rainfall. This distribution has traditionally been modelled through different probability distributions. Here we compare four such models, namely, Cochran's model, truncated Poisson distribution, truncated negative binomial distribution, and logarithmic series distribution. These comparisons are accomplished with help of application to five rainguage stations in India.