Detail publikace

Comparison of Approaches to Testing Equality of Expectations Among Samples from Poisson and Negative Binomial Distribution

TEJKAL, M. HÜBNEROVÁ, Z.

Anglický název

Comparison of Approaches to Testing Equality of Expectations Among Samples from Poisson and Negative Binomial Distribution

Typ

článek v časopise - ostatní, Jost

Jazyk

en

Originální abstrakt

The paper deals with testing of the hypothesis of equality of expectations among p samples from Poisson or negative binomial distribution. a comparison of two main approaches is carried out. The first approach is based on transforming the samples from either Poisson or negative binomial distribution in order to achieve normality or variance stability, and then testing the hypothesis of equality of expectations via the F‑test. In the second approach, test statistics coming from the theory of maximum likelihood appearing in generalised linear models framework, specially designed for testing the hypothesis among samples from the respective distributions (Poisson or negative binomial), are used. The comparison is done graphically, by plotting the simulated power functions of the test of the hypothesis of equality of expectations, when first or second approach was used. Additionally, the relationship between the power functions obtained via the respective approaches and sample sizes is studied by evaluating the respective power functions as functions of a sample size numerically.

Anglický abstrakt

The paper deals with testing of the hypothesis of equality of expectations among p samples from Poisson or negative binomial distribution. a comparison of two main approaches is carried out. The first approach is based on transforming the samples from either Poisson or negative binomial distribution in order to achieve normality or variance stability, and then testing the hypothesis of equality of expectations via the F‑test. In the second approach, test statistics coming from the theory of maximum likelihood appearing in generalised linear models framework, specially designed for testing the hypothesis among samples from the respective distributions (Poisson or negative binomial), are used. The comparison is done graphically, by plotting the simulated power functions of the test of the hypothesis of equality of expectations, when first or second approach was used. Additionally, the relationship between the power functions obtained via the respective approaches and sample sizes is studied by evaluating the respective power functions as functions of a sample size numerically.

Klíčová slova anglicky

Poisson distribution, negative binomial distribution, ANOVA, F‑test statistic, generalized linear model, likelihood ratio, score statistic, variance stabilizing transformation, Yeo‑Johnson transformation, power function

Vydáno

31.08.2018

Nakladatel

Mendel University Press

Místo

Brno

ISSN

1211-8516

Ročník

66

Číslo

4

Strany od–do

1025–1034

Počet stran

10

BIBTEX


@article{BUT156158,
  author="Martin {Tejkal} and Zuzana {Hübnerová},
  title="Comparison of Approaches to Testing Equality of Expectations Among Samples from Poisson and Negative Binomial Distribution",
  year="2018",
  volume="66",
  number="4",
  month="August",
  pages="1025--1034",
  publisher="Mendel University Press",
  address="Brno",
  issn="1211-8516"
}