[图书][B] Univariate discrete distributions
NL Johnson, AW Kemp, S Kotz - 2005 - books.google.com
This Set Contains: Continuous Multivariate Distributions, Volume 1, Models and
Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson …
Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson …
Empirical probability generating function: An overview
M Nakamura, V Pérez-Abreu - Insurance: Mathematics and Economics, 1993 - Elsevier
A convenient approach to the statistical analysis of distributions for counts is possible using
the empirical probability generating function. In this paper we give an overview of recent …
the empirical probability generating function. In this paper we give an overview of recent …
Minimum distance estimators for count data based on the probability generating function with applications
MD Jimenez-Gamero, A Batsidis - Metrika, 2017 - Springer
This paper studies properties of parameter estimators obtained by minimizing a distance
between the empirical probability generating function and the probability generating function …
between the empirical probability generating function and the probability generating function …
Parameter estimation for discrete distributions by generalized Hellinger-type divergence based on probability generating function
This article considers a probability generating function-based divergence statistic for
parameter estimation. The performance and robustness of the proposed statistic in …
parameter estimation. The performance and robustness of the proposed statistic in …
[HTML][HTML] Parameter estimation by Hellinger type distance for multivariate distributions based upon probability generating functions
Maximum likelihood (ML) estimation is a popular method for parameter estimation when
modeling discrete or count observations but unfortunately it may be sensitive to outliers …
modeling discrete or count observations but unfortunately it may be sensitive to outliers …
Intrinsic availability assessment of aged gas transmission pipeline using bayesian update and stochastic process modeling
K Younsi, A Smati - Journal of Natural Gas Science and Engineering, 2017 - Elsevier
Gas pipelines are complex and sensitive structures within gas systems. Gas pipeline
networks encompass mainly compression stations and pipelegs. Compressor stations, on …
networks encompass mainly compression stations and pipelegs. Compressor stations, on …
Fluctuation analysis with cell deaths
B Ycart - arXiv preprint arXiv:1207.4375, 2012 - arxiv.org
The classical Luria-Delbr\" uck model for fluctuation analysis is extended to the case where
cells can either divide or die at the end of their generation time. This leads to a family of …
cells can either divide or die at the end of their generation time. This leads to a family of …
Parameter estimation for strict arcsine distribution
The two-parameter strict arcsine distribution as a member of the natural exponential family
with cubic variance function has been shown to be a viable candidate for statistical analysis …
with cubic variance function has been shown to be a viable candidate for statistical analysis …
Probability generating functions for discrete real-valued random variables
ML Esquível - Theory of Probability & Its Applications, 2008 - SIAM
The probability generating function is a powerful technique for studying the law of finite sums
of independent discrete random variables taking integer positive values. For real-valued …
of independent discrete random variables taking integer positive values. For real-valued …
Probability generating function based Jeffrey's divergence for statistical inference
Statistical inference procedures based on transforms such as characteristic function and
probability generating function have been examined by many researchers because they are …
probability generating function have been examined by many researchers because they are …