Bayes estimation of P(Y < X) for the Weibull distribution with arbitrary parameters
Sign Up to like & getrecommendations! Published in 2017 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2017.03.020
Abstract: Abstract In the model of R = P ( Y X ) , X and Y usually represent the strength of a system and stress applied to it. Then, R is the measure of system… read more here.
Keywords: estimation; bayes estimation; estimation weibull; weibull distribution ... See more keywords
Efficient Sampling From the Watson Distribution in Arbitrary Dimensions
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2024.2416521
Abstract: Abstract In this article, we present two efficient methods for sampling from the Watson distribution in arbitrary dimensions. The first method adapts the rejection sampling algorithm from Kent, Ganeiber, and Mardia, originally designed for Bingham… read more here.
Keywords: watson distribution; sampling watson; distribution; distribution arbitrary ... See more keywords