A Bayesian Approach for Estimating Infant Mortality in Developing Countries

  • Maged G. Ishak
Conference paper

Abstract

Mortality behaviour in a country is simply to be presented where reliable vital statistics data are available. This is not the case in most of developing countries. However, different direct and indirect methods of estimation are usually suggested to assess mortality experience either by adjusting the distorted official data or by employing data obtained from untraditional sources. An improved technique for estimating infant mortality level and pattern is introduced in this study. A Bayesian model for estimating infant mortality is suggested as a conveniet method for including all the prior information about the problem, and hence, to assure the best occupation of the available data.

Keywords

Infant Mortality Prior Information Bayesian Model Prior Function Conditional Posterior Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 1992

Authors and Affiliations

  • Maged G. Ishak
    • 1
  1. 1.Institut für Statistik und Mathematische WirtschaftstheorieUniversität KarlsruheKarlsruhe 1Germany

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