PROPORTIONAL ESTIMATION OF SEQUENTIAL BAYESIAN USING ORTHOPEDIC SURGERY DATA IN NIGERIA
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Date
2017
Authors
ADEWARA, J.A.
OGUNDEJI, R.K.
Journal Title
Journal ISSN
Volume Title
Publisher
Ahmadu Bello University
Abstract
The key difference between frequentist statisticians and Bayesian statisticians is estimation a
population parameter θ. These has to do with whether a statistician thinks of a parameter as some
unknown constant or as a random variable Bayesian methods provide more intuitive and meaningful
inferences than likelihood-only based on inferences. In this paper, a Bayesian model called Betabinomial
conjugate model is employed using Bayesian sequential estimation method to estimate the
proportion of different age groups attended to at the National Orthopaedic hospital, Igbobi, Nigeria.
Over the years results show that the highest number of patients at the hospital is within the age group
15 to 44 years but with the smallest proportion of orthopaedic surgeries. Similarly, smallest the number
of patients is among the age group less than one year and greater than 64 years but with highest
proportion of orthopaedic surgeries. Finally, the results of the comparative analysis of the sample and
Empirical Bayes (EB) proportions show that the Empirical Bayes (EB) estimators are better estimators
on the basis of efficiency and consistency.
Description
Keywords
Empirical Bayes Models , Beta-Binomial Model , Hyperparameters , Population proportion , Orthopaedic surgery , Sequential estimation method
Citation
Adewara, J. & Ogundeji, R. (2017). Proportional estimation of sequential Bayesian using orthopaedic surgery data in Nigeria. Nigerian Journal of Scientific Research, 16(64), 435-440.