Journal of Statistical Theory and Practice

, Volume 4, Issue 2, pp 279–287 | Cite as

Bayesian Estimation of the Parameter of Maxwell Distribution under Different Loss Functions

  • Sanku DeyEmail author
  • Sudhansu S. Maiti


In this paper, Bayes estimators of parameter of Maxwell distribution have been derived by considering non-informative as well as conjugate priors under different scale invariant loss functions, namely, Quadratic Loss Function, Squared-Log Error Loss Function and Modified Linear Exponential Loss Function. The risk functions of these estimators have been studied.

AMS Subject Classification

62F15 65C05 


Maxwell distribution Conjugate prior MLINEX loss function Non-informative prior Posterior density Quadratic loss function Risk function Squared-log error loss function 


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Copyright information

© Grace Scientific Publishing 2010

Authors and Affiliations

  1. 1.Department of StatisticsSt. Anthony’s CollegeMeghalayaIndia
  2. 2.Department of StatisticsVisva-Bharati UniversityWest BengalIndia

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