Bayes, Neyman and Neyman-Bayes Inference for Queueing Systems
AbstractIn 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 15049.
Date of creation: 2007
Date of revision:
parameters estimation; confidence intervals; statistical tests; Bayes;
Find related papers by JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Ciuiu, Daniel, 2011. "Bayes multivariate signification tests and Granger causality," MPRA Paper 48945, University Library of Munich, Germany, revised 01 Oct 2011.
- Ciuiu, Daniel, 2008. "On Jarque-Bera normality test," Working Papers of Macroeconomic Modelling Seminar 081802, Institute for Economic Forecasting.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).
If references are entirely missing, you can add them using this form.