Results 141 to 150 of about 10,940 (163)

Bayes Estimator of Inverse Gaussian Parameters Under General Entropy Loss Function Using Lindley's Approximation

Communications in Statistics - Simulation and Computation, 2008
In this article, we obtained Bayes estimators of parameters of Inverse Gaussian distributions under asymmetric loss function using Lindley's Approximation (L-Approximation). The proposed estimators have been compared with the corresponding estimators obtained under symmetric loss function and MLE for their risks.
P. K. Singh, S. K. Singh, Umesh Singh
openaire   +3 more sources

Bayesian estimation of Lomax distribution under type-II hybrid censored data using Lindley's approximation method

International Journal of Data Science, 2017
In this paper, we have discussed the estimation procedure for two parameter Lomax distribution under Type-II hybrid censoring scheme. The maximum likelihood estimation (MLE) and Bayes estimation for the parameters and reliability characteristics have been considered. The Lindley's approximation technique has been used to obtain the Bayes estimates. The
Abhimanyu Singh Yadav, Umesh Singh, Sanjay Kumar Singh   +2 more
openaire   +3 more sources

Bayes Estimators of the Log-Normal Distribution Parameters Using Lindley's Approximation

2023 International Conference on Information Technology (ICIT), 2023
Siham Ali Abrikah, Ghadeer Farraj, Ma'mon Abu Hammad   +2 more
openaire   +3 more sources

Approximate tolerance intervals for the discrete Poisson–Lindley distribution

Journal of Statistical Computation and Simulation, 2015
The Poisson–Lindley distribution is a compound discrete distribution that can be used as an alternative to other discrete distributions, like the negative binomial. This paper develops approximate one-sided and equal-tailed two-sided tolerance intervals for the Poisson–Lindley distribution.
M. Naghizadeh Qomi, A. Kiapour, Derek S. Young   +2 more
openaire   +1 more source

BAYESIAN ESTIMATION OF TOPP-LEONE LINDLEY (TLL) DISTRIBUTION PARAMETERS UNDER DIFFERENT LOSS FUNCTIONS USING LINDLEY APPROXIMATION

In this study, we present the Bayesian estimates of the unknown parameters of the Topp-Leone Lindley distribution using the maximum likelihood and Bayesian methods. In this study, the Bayes theorem was adopted for obtaining the posterior distribution of the shape parameter and scale parameter of the Topp-Leone Lindley distribution assuming the Jeffreys’
Nzei C. Lawrence , Adegoke M. Taiwo , Ekhosuehi N. , Mbegbu I. Julian   +3 more
openaire   +1 more source

Lindley Approximation Generalized Compound Rayleigh Model under General Entropy Loss Function

International Journal of Applied Engineering Research, 2017
Uma Srivastava, Parul Yadav
openaire   +1 more source

Bayesian Estimation using Lindley’s Approximation and Prediction of Generalized Exponential Distribution Based on Lower Record Values

Journal of Statistics Applications & Probability, 2021
openaire   +1 more source

A note on parameter asymptotics for weighted Lindley distribution

Communications in Statistics Part B: Simulation and Computation, 2022
Emilio Gómez-Déniz, Shaochen Wang
exaly  

A Note on Lindley's Approximate Bayesian Methods

The Egyptian Statistical Journal, 1991
openaire   +1 more source

Generalized Lindley and Power Lindley distributions for modeling the wind speed data

Energy Conversion and Management, 2017
Talha Arslan, Sukru Acitas, Birdal Senoglu   +2 more
exaly