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Bayes, Neyman and Neyman-Bayes Inference for Queueing Systems

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  • Ciuiu, Daniel

Abstract

In this paper we will use the Bayesian inference for the parameters that appear in the queueing systems. We will estimate these parameters and we will build confidence intervals and significance tests for them, considering the parameters of the exponential Poisson and geometric distribution. We will also use the Neyman and the Neyman-Bayes inference for the exponential and Poisson distribution.

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File URL: http://mpra.ub.uni-muenchen.de/15049/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 15049.

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Date of creation: 2007
Date of revision:
Handle: RePEc:pra:mprapa:15049

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Related research

Keywords: parameters estimation; confidence intervals; statistical tests; Bayes;

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Cited by:
  1. Ciuiu, Daniel, 2011. "Bayes multivariate signification tests and Granger causality," MPRA Paper 48945, University Library of Munich, Germany, revised 01 Oct 2011.
  2. Ciuiu, Daniel, 2008. "On Jarque-Bera normality test," Working Papers of Macroeconomic Modelling Seminar 081802, Institute for Economic Forecasting.

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