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Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
Let X1,X2,…,Xn be independent Bernoulli random variables with P(Xj=1)=1−P(Xj=0)=pj and let Sn:=X1+X2...
The problem of evaluating the accuracy of Poisson approximation to the distribution of a sum of inde...
If ƛ is a positive integer, then a Poisson random variable with parameter ƛ can be thought of as a s...
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...
Department of Probability and Mathematical StatisticsKatedra pravděpodobnosti a matematické statisti...
International audienceWe use a direct method to study the relative Poisson approximation of the unif...
Available from British Library Document Supply Centre- DSC:7769.086(SU-DPS-RR--439/94) / BLDSC - Bri...
A Poisson distribution is well used as a standard model for analyzing count data. Most of the usual ...
This bachelor thesis deals with the counting probability using Poisson distri- bution and shows new ...
In this note, we explore the rich information about inference that the Poisson distribution has. The...
Let X1,X2,...,Xn be independent Bernoulli random variables with P(Xj = 1) = 1 − P(Xj = 0) = pj and ...
Let X1,X2,...,Xn be independent Bernoulli random variables with P(Xj = 1) = 1 − P(Xj = 0) = pj and ...
(J V k. Approximate algorithms have long been the only available methods for generating Poisson rand...
This paper presents new Gaussian approximations for the cumulative distri-bution function P(Aλ ≤ s) ...
Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
Let X1,X2,…,Xn be independent Bernoulli random variables with P(Xj=1)=1−P(Xj=0)=pj and let Sn:=X1+X2...
The problem of evaluating the accuracy of Poisson approximation to the distribution of a sum of inde...
If ƛ is a positive integer, then a Poisson random variable with parameter ƛ can be thought of as a s...
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...
Department of Probability and Mathematical StatisticsKatedra pravděpodobnosti a matematické statisti...
International audienceWe use a direct method to study the relative Poisson approximation of the unif...
Available from British Library Document Supply Centre- DSC:7769.086(SU-DPS-RR--439/94) / BLDSC - Bri...
A Poisson distribution is well used as a standard model for analyzing count data. Most of the usual ...
This bachelor thesis deals with the counting probability using Poisson distri- bution and shows new ...
In this note, we explore the rich information about inference that the Poisson distribution has. The...
Let X1,X2,...,Xn be independent Bernoulli random variables with P(Xj = 1) = 1 − P(Xj = 0) = pj and ...
Let X1,X2,...,Xn be independent Bernoulli random variables with P(Xj = 1) = 1 − P(Xj = 0) = pj and ...
(J V k. Approximate algorithms have long been the only available methods for generating Poisson rand...
This paper presents new Gaussian approximations for the cumulative distri-bution function P(Aλ ≤ s) ...
Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
Let X1,X2,…,Xn be independent Bernoulli random variables with P(Xj=1)=1−P(Xj=0)=pj and let Sn:=X1+X2...
The problem of evaluating the accuracy of Poisson approximation to the distribution of a sum of inde...