@inbook{f320b9ab043f4f5db314f24276e09157,
title = "Empirical Power Study of the Jackson Exponentiality Test",
abstract = "The exponential distribution is an important model, frequently used in areas such as queueing theory, reliability and survival analysis. Therefore, the problem of testing exponentiality is an important subject in Statistics. Many tests have been proposed and in this paper we revisit the exact and asymptotic properties of the Jackson exponentiality test. Using Monte Carlo computations we study the empirical power of the Jackson test and compare it with the power of Lilliefors exponentiality test.",
keywords = "Exponential distribution, Exponentiality test, Monte Carlo simulation, Power of a statistical test",
author = "Frederico Caeiro and Ayana Mateus",
note = "info:eu-repo/grantAgreement/FCT/5876/147204/PT# ",
year = "2018",
month = may,
doi = "10.1007/978-3-319-76002-5_19",
language = "English",
isbn = "978-3-319-76001-8",
series = "The Springer Series on Demographic Methods and Population Analysis",
publisher = "Springer International Publishing AG",
pages = "225--235",
editor = "C. Skiadas and {Skiadas }, C.",
booktitle = "Demography and Health Issues - The Springer Series on Demographic Methods and Population Analysis",
address = "Switzerland",
}