Journal article
Evaluation of Beta Generation Algorithms
Abstract
In this article, we provide an overview of well-known beta algorithms. We first study a stochastic search procedure proposed by Kennedy (1988) that asymptotically generates a beta variate. The goal is to identify the optimal parameter setting so that Kennedy's algorithm can achieve the fastest speed of generation. For comparative purposes, we next evaluate the performance of some selected beta algorithms in terms of the following criteria: (i) …
Authors
Hung Y-C; Balakrishnan N; Lin Y-T
Journal
Communications in Statistics - Simulation and Computation, Vol. 38, No. 4, pp. 750–770
Publisher
Taylor & Francis
Publication Date
February 24, 2009
DOI
10.1080/03610910802645347
ISSN
0361-0918