Nonparametric Versus Parametric Reasoning Based on 22 Contingency Tables

• Autorzy: Sulewski P.

Identyfikatory

DOI

10.12921/cmst.2018.0000009

• Języki publikacji: EN

Abstrakty

EN

This paper proposes scenarios of generating contingency tables (CTs) with the probability flow parameter (PFP). It also defines measures of untruthfulness of H0 that involve PFP for all proposed scenarios. This paper is an attempt to replace a nonparametric statistical inference method by the parametric one. The paper applies the maximum likelihood method to estimate PFP and presents instructions to generate CTs by means of the bar method. The Monte Carlo method is used to carry out computer simulations.

Słowa kluczowe

EN

statistical inference; likelihood function; contingency tables; parametric test; probability flow parameter

• Wydawca: Institute of Bioorganic Chemistry Scientific Publishers OWN, Polish Academy of Sciences
• Czasopismo: Computational Methods in Science and Technology
• Rocznik: 2018
• Tom: Vol. 24, No. 2
• Strony: 143--153
• Opis fizyczny: Bibliogr. 37 poz., rys.

Twórcy

autor

Sulewski P.

• The Pomeranian University, Institute of Mathematics 76-200 Słupsk, Poland

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).