This paper presents several types of statistical distributions to describe rainfall distribution in Ibadan metropolis over a period of 30 years. The exponential, gamma, normal and poison distributions are compared to identify the optimal model for daily rainfall amount based on data recorded at rain guage station at Forestry Research Institute of Nigeria, Jericho, Ibadan (FRIN). The models are evaluated based on chi- square and Kolmogorov-Smirnov tests. Overall, this study has shown that the exponential distribution is the best model followed by normal and poisson model that has the same estimated rainfall amount for describing the daily rainfall in Ibadan metropolis
This study aims at studying the characteristics of some meteorological variables in Sokoto and its v...
In this study, several types of probability distributions were used to fit the daily torrential rain...
In this study, several types of probability distributions were used to fit the daily torrential rain...
This paper presents several types of statistical distributions to describe rainfall distribution in ...
The distribution of daily rainfall amounts were modeled to the gamma and exponential distribution fu...
The choice of a suitable model that could predict the possibility of occurrence of rainfall event of...
Suitable and adequate hydrological design data especially for flood design, are not readily availabl...
In this study, probability analysis was performed on peak daily rainfall data in order to predict ra...
The distributions of daily rainfall amounts at three stations in the savanna vegetative zone of nort...
Annual one day maximum rainfall and two to five consecutive day’s maximum rainfall corresponding to ...
This paper reports on a stochastic analysis of rainfall events in Ilorin, Nigeria. Rainfall, the mos...
This research presents a statistical study of rainfall which compares several types of normal transf...
By considering daily maximum rainfall values as random hydrologic variables, the Benin City rainfall...
In this study we aimed to examine the performance of Rayleigh and Weibull distributions in relative ...
The long term rainfall characteristics of an area are best understood if the statistical distributio...
This study aims at studying the characteristics of some meteorological variables in Sokoto and its v...
In this study, several types of probability distributions were used to fit the daily torrential rain...
In this study, several types of probability distributions were used to fit the daily torrential rain...
This paper presents several types of statistical distributions to describe rainfall distribution in ...
The distribution of daily rainfall amounts were modeled to the gamma and exponential distribution fu...
The choice of a suitable model that could predict the possibility of occurrence of rainfall event of...
Suitable and adequate hydrological design data especially for flood design, are not readily availabl...
In this study, probability analysis was performed on peak daily rainfall data in order to predict ra...
The distributions of daily rainfall amounts at three stations in the savanna vegetative zone of nort...
Annual one day maximum rainfall and two to five consecutive day’s maximum rainfall corresponding to ...
This paper reports on a stochastic analysis of rainfall events in Ilorin, Nigeria. Rainfall, the mos...
This research presents a statistical study of rainfall which compares several types of normal transf...
By considering daily maximum rainfall values as random hydrologic variables, the Benin City rainfall...
In this study we aimed to examine the performance of Rayleigh and Weibull distributions in relative ...
The long term rainfall characteristics of an area are best understood if the statistical distributio...
This study aims at studying the characteristics of some meteorological variables in Sokoto and its v...
In this study, several types of probability distributions were used to fit the daily torrential rain...
In this study, several types of probability distributions were used to fit the daily torrential rain...