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[PDF] Top 20 Bayes Estimation of Parameter of Laplace Distribution Under a New LINEX-Based Loss Function

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Bayes Estimation of Parameter of Laplace Distribution Under a New LINEX-Based Loss Function

Bayes Estimation of Parameter of Laplace Distribution Under a New LINEX-Based Loss Function

... the Bayes estimators obtained under LINEX-based loss function is affected by the value of the shape parameter estimation of ...of parameter has a larger ... See full document

5

A Study on The Mixture of Exponentiated-Weibull Distribution

A Study on The Mixture of Exponentiated-Weibull Distribution

... this distribution (EW) are discussed by Singh et al. (2002) obtained Bayes estimators for the distribution parameters, reliability function and hazard function with type II censored ... See full document

29

Bayesian inference on reliability in a multicomponent stress-strength bathtub-shaped model based on record values

Bayesian inference on reliability in a multicomponent stress-strength bathtub-shaped model based on record values

... well-developed estimation techniques for the reliability assessment in multicomponent stress-strength models when the information about all the experimental units are ...bathtub-shaped distribution, we ... See full document

14

Bayesian and Non–Bayesian Estimation for Two Generalized Exponential Populations Under Joint Type II Censored Scheme

Bayesian and Non–Bayesian Estimation for Two Generalized Exponential Populations Under Joint Type II Censored Scheme

... Bayesian estimation based on the SE and LINEX loss functions for the unknown parameters of two Generalized exponential distributions has been discussed based on a joint type- II ... See full document

16

Estimation Based on Progressive First Failure  Censored Sampling with Binomial Removals

Estimation Based on Progressive First Failure Censored Sampling with Binomial Removals

... lifetime distribution bas- ed on progressive type II censored samples is studied by several authors including Gupta et ...a Bayes esti- mation (symmetric and asymmetric loss functions) for the ... See full document

9

ESTIMATION OF PARAMETERS AND RELIABILITY FUNCTION OF EXPONENTIATED EXPONENTIAL DISTRIBUTION: BAYESIAN APPROACH UNDER GENERAL ENTROPY LOSS FUNCTION

ESTIMATION OF PARAMETERS AND RELIABILITY FUNCTION OF EXPONENTIATED EXPONENTIAL DISTRIBUTION: BAYESIAN APPROACH UNDER GENERAL ENTROPY LOSS FUNCTION

... obtained under GELF with corresponding Bayes estimators under SELF and their ...are based on the simulated risks(average loss over sample space) under GELF and SELF ...the ... See full document

18

EXPONENTIAL DISTRIBUTION AS A STRESS-STRENGTH MODEL WITH TYPE-I CENSORED DATA FROM A BAYESIAN VIEWPOINT

EXPONENTIAL DISTRIBUTION AS A STRESS-STRENGTH MODEL WITH TYPE-I CENSORED DATA FROM A BAYESIAN VIEWPOINT

... exponential distribution studied again in (2006) by Cuirong (et al) to find the risk ...derived Bayes estimators for inverted exponential distribution and obtained squared error and LINEX ... See full document

14

Shrinkage Testimator in Gamma Type II Censored Data under LINEX Loss Function

Shrinkage Testimator in Gamma Type II Censored Data under LINEX Loss Function

... “Bayesian Estimation of the Scale Parameter of Gamma Distribution under Linex Loss Function with Censoring,” In: ... See full document

13

BAYESIAN ESTIMATION OF THE SHAPE PARAMETER OF THE GENERALISED EXPONENTIAL DISTRIBUTION UNDER DIFFERENT LOSS FUNCTIONS

BAYESIAN ESTIMATION OF THE SHAPE PARAMETER OF THE GENERALISED EXPONENTIAL DISTRIBUTION UNDER DIFFERENT LOSS FUNCTIONS

... of Bayes estimation of θ using the prior (2.1) under three different loss ...the loss functions is evaluated on the basis of risk ...inadmissible under some loss ...are ... See full document

12

A Family of Bayes Estimators for the Parameters of the Generalized Gamma Distribution

A Family of Bayes Estimators for the Parameters of the Generalized Gamma Distribution

... the Bayes estimation of the parameters of the GG distribution under different priors using a couple of loss ...The estimation has been done using MCMC algorithm using ...the ... See full document

20

Bayes Estimation and Prediction under Informative Sampling Design

Bayes Estimation and Prediction under Informative Sampling Design

... of Bayes estimation of the parameter that characterise the superpopulation model, and Bayes prediction of finite population total, from a sample survey data selected from a finite population ... See full document

27

Bayesian Estimation for Nadarajah-Haghighi Distribution Based on Upper Record Values

Bayesian Estimation for Nadarajah-Haghighi Distribution Based on Upper Record Values

... the Bayes estimators under symmetric and asymmetric loss functions using Markov Chain Monte Carlo (MCMC) technique to compare the performance of the proposed methods based on record ... See full document

14

Semi- Minimax Estimation of the Scale Parameter of Laplace Distribution under Symmetric and Asymmetric Loss Functions

Semi- Minimax Estimation of the Scale Parameter of Laplace Distribution under Symmetric and Asymmetric Loss Functions

... minimax estimation is an upgraded non- classical approach in the estimation area of statistical ...the distribution function on the parameter space which is called prior ...MLINEX ... See full document

8

Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics

Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics

... 1) Estimation of the parameters of the finite mixture model of two Gompertz distributions are considered from a Bayesian approach based on ...and Bayes estimators, under either a squared error ... See full document

14

Bayesian Estimation for ISB p-dim Rayleigh distribution under type-II censored data using Lindley's Approximation

Bayesian Estimation for ISB p-dim Rayleigh distribution under type-II censored data using Lindley's Approximation

... Bayesian estimation of the unknown parameter of inverse size biased (ISB) p- dimensional (p-dim) Rayleigh distribution under Type-II censored samples is ...The Bayes estimate of the ... See full document

5

A 2 Component Laplace Mixture Model: Properties and Parametric Estimations

A 2 Component Laplace Mixture Model: Properties and Parametric Estimations

... from Laplace mixture distribution with scale parameter equal λ 1 = λ 2 = 1, and the mixing parameter equals α 1 = ...model parameter estimates over 100 iteration, the results are ... See full document

8

Two Parameter Laplace Type Bimodal Distribution

Two Parameter Laplace Type Bimodal Distribution

... The Laplace distribution has received considerable attention as an appropriate model in reliability theory and life testing ...a Laplace distribution, but have the kurtosis lies between 3 and ... See full document

9

Bayesian Estimations with Fuzzy Data to Estimation Inverse Rayleigh Scale Parameter

Bayesian Estimations with Fuzzy Data to Estimation Inverse Rayleigh Scale Parameter

... DOI: 10.4236/ojapps.2019.98054 675 Open Journal of Applied Sciences Bayesian opinion the parameter itself is considered as a random variable from a given probability distribution whose variability can be ... See full document

9

Statistical inference based on k-records

Statistical inference based on k-records

... Bayesian estimation as well as prediction based on k-records are presented when the underlying distribution is assumed to have a general ...one parameter case. Also, the two-parameter ... See full document

16

Three Parameter Laplace Type Bimodal Distribution

Three Parameter Laplace Type Bimodal Distribution

... Three parameter Laplace type Bimodal ...location parameter and best linear unbiased estimator of the location and scale parameter were also ... See full document

7

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