Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Pedro Jodrá"'
Autor:
Pedro Jodrá
Publikováno v:
Revstat Statistical Journal, Vol 20, Iss 3 (2022)
In this note, the right truncated Weibull distribution is derived as the distribution of the minimum of a random number of independent and identically distributed random variables. Specifically, the independent random variables have a common power fu
Externí odkaz:
https://doaj.org/article/a233c0c713c448ceb9cf1ea1e6c09b56
Publikováno v:
Revstat Statistical Journal, Vol 18, Iss 4 (2020)
The paper first introduces a new two-parameter continuous probability distribution with bounded support from the extended exponential-geometric distribution. Closed-form expressions are given for the moments, moments of the order statistics and quant
Externí odkaz:
https://doaj.org/article/e8827ad0e21040289337bb94e4468fa6
Autor:
Pedro Jodrá, Mohd. Arshad
Publikováno v:
Communications in Statistics - Theory and Methods. 51:8310-8327
In the context of reliability theory, Eginhard J. Muth introduced in 1977 a continuous probability distribution that has been overlooked in the statistical literature. This paper is devoted to that...
Publikováno v:
Methodology and Computing in Applied Probability. 21:235-251
In this paper, a new class of slash distribution is introduced. The distribution is obtained as a quotient of two independent random variables, specifically, a Lindley-Weibull distribution divided by a power of a uniform distribution. The new model c
Publikováno v:
Journal of Computational and Applied Mathematics. 318:220-229
A class of tests for the two-sample problem for count data whose test statistic is an L 2 -norm of the difference between the empirical probability generating functions associated with each sample is considered. The tests can be applied to count data
Publikováno v:
Insurance: Mathematics and Economics. 71:189-194
The Log-Lindley distribution is a continuous probability model with useful applications in insurance and inventory management. In this note, it is proven that pseudo-random data from this model can be generated by computer via the Lambert W function.
Publikováno v:
Mathematics and Computers in Simulation. 118:258-272
A class of goodness-of-fit tests of the Cramer-von Mises type is considered. More specifically, the test statistic of each test is an L 2 -norm of the difference between the empirical characteristic function associated with a random sample and a para
Publikováno v:
Mathematical Methods in the Applied Sciences. 39:4713-4722
Many models of asymmetric distributions proposed in the statistical literature are obtained by transforming an arbitrary symmetric distribution by means of a skewing mechanism. In certain important cases, the resultant skewed distribution shares some
Publikováno v:
Mathematical Modelling and Analysis; Vol 22 No 2 (2017); 186-201
Mathematical Modelling and Analysis, Vol 22, Iss 2 (2017)
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Mathematical Modelling and Analysis, Vol 22, Iss 2 (2017)
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Muth introduced a probability distribution with application in reliability theory. We propose a new model from the Muth law. This paper studies its statistical properties, such as the computation of the moments, computer generation of pseudo-random d
Publikováno v:
Journal of Mathematical Analysis and Applications. 410:882-890
We provide an explicit analytical solution for a logarithmic integral in terms of the Lerch transcendent function together with the generalized Stirling numbers of the first kind. For some special cases of interest in statistical applications, the ex