© 2017 Taylor & Francis Group, LLC The conditional maxima of independent Poisson random variables are studied. A triangular array of row-wise independent Poisson random variables is considered. If condition is given for the row-wise sums, then the limiting distribution of the row-wise maxima is concentrated onto two points. The result is in accordance with the classical result of Anderson. The case of general power series distributions is also covered. The model studied in Theorems 2.1 and 2.2 is an analogue of the generalized allocation scheme. It can be considered as a non homogeneous generalized scheme of allocations of at most n balls into N boxes. Then the maximal value of the contents of the boxes is studied
Consider a row-wise independent triangular array of gamma random variables with varying parameters. ...
Consider a row-wise independent triangular array of gamma random variables with varying parameters. ...
Consider a row-wise independent triangular array of gamma random variables with varying parameters. ...
© 2017 Taylor & Francis Group, LLC The conditional maxima of independent Poisson random variables ...
© 2017 Taylor & Francis Group, LLC The conditional maxima of independent Poisson random variables ...
© 2017 Taylor & Francis Group, LLC The conditional maxima of independent Poisson random variables ...
Given a set of independent Poisson random vari-ableswith common mean, we study the distribution of t...
AbstractArrays of random vectors with values in Rd stationary in rows, are investigated. By the assu...
AbstractArrays of random vectors with values in Rd stationary in rows, are investigated. By the assu...
Abstract: This paper deals with the limiting distribution of the maximum, under linear normalization...
© 2020 Abdushukurov F.A. We consider a random variable µr(n, K, N) being the number of cells contain...
© 2019, Pleiades Publishing, Ltd. In some non-homogeneous generalized allocation schemes we formulat...
© 2019, Pleiades Publishing, Ltd. In some non-homogeneous generalized allocation schemes we formulat...
Abstract. Consider a rowwise independent triangular array of gamma random variables with varying par...
We present conditions sufficient for the weak convergence to a compound Poisson distribution of the ...
Consider a row-wise independent triangular array of gamma random variables with varying parameters. ...
Consider a row-wise independent triangular array of gamma random variables with varying parameters. ...
Consider a row-wise independent triangular array of gamma random variables with varying parameters. ...
© 2017 Taylor & Francis Group, LLC The conditional maxima of independent Poisson random variables ...
© 2017 Taylor & Francis Group, LLC The conditional maxima of independent Poisson random variables ...
© 2017 Taylor & Francis Group, LLC The conditional maxima of independent Poisson random variables ...
Given a set of independent Poisson random vari-ableswith common mean, we study the distribution of t...
AbstractArrays of random vectors with values in Rd stationary in rows, are investigated. By the assu...
AbstractArrays of random vectors with values in Rd stationary in rows, are investigated. By the assu...
Abstract: This paper deals with the limiting distribution of the maximum, under linear normalization...
© 2020 Abdushukurov F.A. We consider a random variable µr(n, K, N) being the number of cells contain...
© 2019, Pleiades Publishing, Ltd. In some non-homogeneous generalized allocation schemes we formulat...
© 2019, Pleiades Publishing, Ltd. In some non-homogeneous generalized allocation schemes we formulat...
Abstract. Consider a rowwise independent triangular array of gamma random variables with varying par...
We present conditions sufficient for the weak convergence to a compound Poisson distribution of the ...
Consider a row-wise independent triangular array of gamma random variables with varying parameters. ...
Consider a row-wise independent triangular array of gamma random variables with varying parameters. ...
Consider a row-wise independent triangular array of gamma random variables with varying parameters. ...