Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alfred Akinsete"'
Autor:
A. Babatunde Idowu, Alfred Akinsete
Publikováno v:
Revista de Biología Tropical, Vol 49, Iss 2, Pp 673-678 (2001)
Zonocerus variegatus is a common grasshopper in parts of west and equtorial Africa.The distribution in Nigeria extends from the lowland rainforest zone to the savannah in the north. The influence of lure on the behaviour of grasshopper inside cages (
Externí odkaz:
https://doaj.org/article/8828ebb36bbc47eca6c7499eceadc8eb
Publikováno v:
Annals of Data Science. 8:367-386
A method for developing generalized parametric regression models for count data is proposed and studied. The method is based on the framework of the T-geometric family of distributions. A T-geometric family consists of discrete distributions, which a
Publikováno v:
Annals of Data Science. 6:361-389
In this article, we propose and study a new family of distributions which is defined by using the genesis of the truncated Poisson distribution and the beta distribution. Some mathematical properties of the new family including moments, quantile and
Publikováno v:
Journal of Statistical Distributions and Applications, Vol 4, Iss 1, Pp 1-24 (2017)
In this work, a new five-parameter Kumaraswamy transmuted Pareto (KwTP) distribution is introduced and studied. We discuss various mathematical and statistical properties of the distribution including obtaining expressions for the moments, quantiles,
Publikováno v:
Statistics. 42:547-563
In this paper, a four-parameter beta-Pareto distribution is defined and studied. Various properties of the distribution are discussed. The distribution is found to be unimodal and has either a unimodal or a decreasing hazard rate. The expressions for
Publikováno v:
Global Journal of Pure and Applied Sciences; Vol 6, No 1 (2000); 23-26
Publikováno v:
Journal of Statistical Distributions and Applications. 1(1)
In this paper, the Kumaraswamy-geometric distribution, which is a member of the T-geometric family of discrete distributions is defined and studied. Some properties of the distribution such as moments, probability generating function, hazard and quan