Results 211 to 220 of about 486,467 (245)

Cumulative distribution function of a geometric Poisson distribution

Journal of Statistical Computation and Simulation, 2008
The geometric Poisson distribution (also called Polya–Aeppli) is a particular case of the compound Poisson distribution. We propose to express the general term of this distribution through a recurrence formula leading to a linear algorithm for the computation of its cumulative distribution function.
openaire   +2 more sources

Approximating a Cumulative Distribution Function by Generalized Hyperexponential Distributions

Probability in the Engineering and Informational Sciences, 1997
Recent developments in stochastic modeling show that enormous analytical advantages can be gained if a general cumulative distribution function (c.d.f.) can be approximated by generalized hyperexponential distributions. In this paper, we introduce a procedure to explicitly construct such approximations of an arbitrary c.d.f.
Ou, J., Li, J., Özekici, S.
openaire   +1 more source

Distributivity and Cumulativity

2017
The following four chapters take up the features of quantities of matter that distinguish them from individuals by their mereological structure. This structure is reflected in the character of certain predicates expressing the property of being a particular kind of substance, say water, and exhibiting one or more phases, such as being liquid and being ...
openaire   +1 more source

The Cumulative Distribution Function

1989
All of the arithmetic associated with testing in the hyper-geometric distribution and with confidence intervals in the binomial distribution (respectively, Lessons 15, 19, Part I) was based on their CDFs. Here the extension of this latter concept will be made in two steps, one emphasizing the type of function which is “random”, the other emphasizing ...
Hung T. Nguyen, Gerald S. Rogers
openaire   +1 more source

Deconvolution of Cumulative Distribution Function with Unknown Noise Distribution

Acta Applicandae Mathematicae, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Cumulants of infinitely divisible distributions

Random Operators and Stochastic Equations, 2009
Summary: In this expository article, we provide a unified version of the literature on certain aspects of cumulants of infinitely divisible distributions. In view of the spectral representations corresponding to the distributions referred to, with appropriate modifications to standard arguments, it follows that the cumulants of these distributions ...
Gupta, Arjun K., Shanbhag, Damodar N., Nguyen, Truc T., Chen, J. T.   +3 more
openaire   +1 more source

Distributivity, Collectivity and Cumulativity

2000
In the language of plurality introduced in this lecture, we will not yet incorporate a full treatment of verbs. So the language (and the analysis of plurality, in this respect) is poorer than Scha’s. For the moment, we won’t have functional abstraction, and we will have only one-place verbs, which -again for the moment - we will treat in the same way ...
openaire   +1 more source

A cumulative probability distribution analyser

Mathematics and Computers in Simulation, 1963
A simple analyser capable of portraying the cumulative probability distribution of random and deterministic signals is described. The instrument uses standard analogue computing elements and examples are shown of its application to a variety of signals.
R.E. King, W.A. Brown
openaire   +1 more source

Approximation to the Cumulative t-Distribution

Technometrics, 1966
(1966). APProximation to the Cumulative t-Distribution. Technometrics: Vol. 8, No. 2, pp. 358-359.
openaire   +1 more source

The Binomial Cumulative Distribution Function

1989
Let X be a binomial random variable characterized by the parameters n and p. This table contains values of the binomial cumulative distribution function\(B(x;n,p) = p(X \le x) = \sum\limits_{y = 0}^x {b(y;n,p) = \sum\limits_{y = 0}^x {(_y^n){p^y}{{(1 -p)}^{n -y.}}} } \)
Stephen Kokoska, Christopher Nevison
openaire   +1 more source