Bayesian Approach for the Estimation of Missing Responses in Randomized Block Design

Authors

  • Ajantha Rudhra Geethanjali College of Engineering and Technology, Cheeryal, Hyderabad, India
  • Bhatra Charyulu Nallan Chakravarthula Department of Statistics, University College of Science, Osmania University, Hyderabad, India

Keywords:

Missing observations, RBD, Bayes theorem, Gibbs sampling

Abstract

Many authors made their remarkable study on estimating missing observations. When an observation is missing in a randomized block design, resulting data is incomplete to carry out the analysis as per the original plan of the experiment. In this paper an attempt is made to estimate the missing observations using Bayesian approach to estimate the missing values in randomized block design and illustrated with a suitable example.

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Published

2021-12-30

How to Cite

Rudhra, A. ., & Charyulu Nallan Chakravarthula, B. . (2021). Bayesian Approach for the Estimation of Missing Responses in Randomized Block Design. Thailand Statistician, 20(1), 227–232. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/245861

Issue

Vol. 20 No. 1 (2022): January

Section

Articles