Abstract: We present an algorithm for computing exact expressions for the distribution of the maximum or minimum of an arbitrary finite collection of linear combinations of spacings or exponential random variables with rational coefficients. These expressions can then be manipulated or evaluated using symbolic math packages such as Maple. As examples, we apply this algorithm to obtain the distributions of the maximum and minimum of a moving average process, and the distribution of the Kolmogorov-Smirnov statistic
Starting from seminal neglected work by Rappeport (Rappeport 1968 Algorithms and computational proce...
This thesis deals with the problem of estimating statistical distributions from data. In the first p...
AbstractIn many real-life situations, we know the probability distribution of two random variables x...
[[abstract]]We present an algorithm for computing exact expressions for the distribution of the maxi...
We present an algorithm for computing exact expressions for the distribution of the maximum or minim...
We develop a methodology for evaluating the distribution of the minimum or the maximum of linear com...
We develop a methodology for evaluating the distribution of the minimum or the maximum of linear com...
[[abstract]]Consider the spacings between i.i.d. uniform observations in the interval (0,1). We deve...
The exact distribution of the maximum and minimum frequencies of Multinomial/Dirichlet and Multivari...
[[abstract]]Based on the recursions in Huffer and Huffer and Lin, we present a two-stage algorithm a...
Starting from seminal neglected work by Rappeport (1968), we revisit and expand on the exact algorit...
The set of distribution functions that maximize expected utility for some utility function in a give...
[[abstract]]We apply the result of conditional independence of blocked ordered data established by I...
[[abstract]]We develop a methodology for evaluating probabilities which involve linear combinations ...
We apply the result of conditional independence of blocked ordered data established by Iliopoulos an...
Starting from seminal neglected work by Rappeport (Rappeport 1968 Algorithms and computational proce...
This thesis deals with the problem of estimating statistical distributions from data. In the first p...
AbstractIn many real-life situations, we know the probability distribution of two random variables x...
[[abstract]]We present an algorithm for computing exact expressions for the distribution of the maxi...
We present an algorithm for computing exact expressions for the distribution of the maximum or minim...
We develop a methodology for evaluating the distribution of the minimum or the maximum of linear com...
We develop a methodology for evaluating the distribution of the minimum or the maximum of linear com...
[[abstract]]Consider the spacings between i.i.d. uniform observations in the interval (0,1). We deve...
The exact distribution of the maximum and minimum frequencies of Multinomial/Dirichlet and Multivari...
[[abstract]]Based on the recursions in Huffer and Huffer and Lin, we present a two-stage algorithm a...
Starting from seminal neglected work by Rappeport (1968), we revisit and expand on the exact algorit...
The set of distribution functions that maximize expected utility for some utility function in a give...
[[abstract]]We apply the result of conditional independence of blocked ordered data established by I...
[[abstract]]We develop a methodology for evaluating probabilities which involve linear combinations ...
We apply the result of conditional independence of blocked ordered data established by Iliopoulos an...
Starting from seminal neglected work by Rappeport (Rappeport 1968 Algorithms and computational proce...
This thesis deals with the problem of estimating statistical distributions from data. In the first p...
AbstractIn many real-life situations, we know the probability distribution of two random variables x...