A two-stage procedure is proposed for the generation of random variates from a multinomial distribution. In the first stage we propose that cell frequencies be generated as random deviates from a ...

Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in the accounting and finance industries for more than 20 years. Her expertise covers a ...

A test based on the maximum adjusted residual from multinomial models, namely, the M test, is proposed. Sharp bounds on its critical values are provided for the multinomial case, while for the two-way ...

Epitropakis M, Tasoulis DK, Pavlidis NG, Plagianakos VP & Vrahatis MN (2012) Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential ...

Epitropakis M, Tasoulis DK, Pavlidis NG, Plagianakos VP & Vrahatis MN (2012) Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential ...

Abstract: In this paper, we examine the problem of count data clustering. We analyze this problem using finite mixtures of distributions. The multinomial distribution and the multinomial Dirichlet ...

Abstract: The probability of a particular outcome of a multinomial trial may depend on the trial number. The generalized multinomial distribution describes such an experiment. A mathematical statement ...

Here, we provide a self-explained R code (SDM-Simulations.R) for repoduce all the results presented in our manuscript. randomized_single_species_distribution.rds - the results of numeric simulation – ...

Here we propose a method to extremely accelerate NAS, without reinforcement learning or gradient, just by sampling architectures from a distribution and comparing these architectures, estimating their ...

A probability mixture model commonly used to represent patterns of brand choice behavior. Over repeated occasions on which purchases are made from the product category, the set of brands chosen are ...