[PDF] Top 20 Estimation in Censored Sample Using Linex Loss Function
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Estimation in Censored Sample Using Linex Loss Function
... In life testing experiment, it is common practice to terminate the experiment when certain numbers of items failed or a stipulated time has elapsed. In order to overcome these situations terminate most of the life tests ... See full document
6
Modified Maximum Likelihood Estimation from Censored Samples in Burr Type X Distribution
... paper estimation of λ from type II censored sample where k is known is ...likelihood estimation (MMLE) of λ from complete ...reference estimation from complete samples is presented in ... See full document
29
On Estimation and Prediction for the Inverted Kumaraswamy Distribution Based on General Progressive Censored Samples
... (complete sample) Many authors have been studied the general progressive censoring using different lifetime distributions, as, Soliman (2008) make an inference for Pareto model using general ... See full document
20
Estimating a Bounded Normal Mean Under the LINEX Loss Function
... is inadmissible and hence, we derive a class of dominating estimators. We then propose the Bayes estimator of the mean w.r.t. uniform prior as a competitor for MLE . Finally, we wish to compare risk performance of ... See full document
8
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 ...error, LINEX and general entropy ... See full document
5
Bayesian Analysis of Record Statistics Based on Generalized Inverted Exponential Model
... Bayesian estimation for the GIED based on URRSS hasn't been studied in the literature ...obtained using independent gamma priors under symmetric (squared error (SE)) and asymmetric (linear exponential ... See full document
13
Bayesian and Non Bayesian Estimation of the Inverse Weibull Model Based on Generalized Order Statistics
... balanced LINEX loss functions are ...balanced LINEX loss functions are more general, which include the symmetric and asymmetric losses as special ...reliability function. Progressively ... See full document
9
Bayesian and Non–Bayesian Estimation for Two Generalized Exponential Populations Under Joint Type II Censored Scheme
... II censored scheme, which generalize results of Balakrishnan and Rasouli (2008) and Shafay et ...error loss function as well as under LINEX loss ... See full document
16
Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics
... by using type I and type II censored samples, using the maximum likelihood (ML) and Bayes ...I censored sam- ples from a finite mixture of two truncated type I general- ized logistic ... See full document
14
Bayesian Estimation Of Shift Point In Poisson Model Under Asymmetric Loss Functions
... asymmetric loss functions viz. squared error loss function, linex loss function, precautionary loss function and general entropy loss function under ... See full document
12
A Study on The Mixture of Exponentiated-Weibull Distribution
... reliability function and hazard function with type II censored sample under squared error loss function as well as under LINEX loss ...functions using Bayes ... See full document
29
Shrinkage Testimator in Gamma Type II Censored Data under LINEX Loss Function
... [18] A. K. Rao and R. S. Srivastava, “Bayesian Estimation of the Scale Parameter of Gamma Distribution under Linex Loss Function with Censoring,” In: B. N. Pandey, Ed., Statistical Techniques ... See full document
13
Bayes Estimation of Parameter of Laplace Distribution Under a New LINEX-Based Loss Function
... the loss function plays an important role in the Bayes statistical inference, construction of new symmetric loss function plays an important role in the enrichment and development of Bayes ... See full document
5
Hazard Rate Estimation Using Varying Kernel Function for Censored Data Type I
... The implementation of all the empirical simulation by using the programing language R (version 2.15.1 R 2012). This language is a large number of packages used in many different statistical fields. To carry out ... See full document
11
Monte Carlo Simulation Based Structural Part Life Estimation According to Small Sample of Right censored Data
... density function to describe structural part life distribution in the situation of vary small sample of right-censored life ...parameter estimation model is developed based on Monte Carlo ... See full document
5
EXPONENTIAL DISTRIBUTION AS A STRESS-STRENGTH MODEL WITH TYPE-I CENSORED DATA FROM A BAYESIAN VIEWPOINT
... this loss function is approximately squared error loss and therefore almost ...this loss function in various estimation and prediction ... See full document
14
Optimal Allocation in Domains Mean Estimation Using Double Sampling with Non-Linear Cost Function in the Presence of Non-Response
... by using double ...objective function under a single linear ...cost function for allocating sample size in multivariate stratified random sampling in the presence of non-response in which a ... See full document
13
Improved estimation for linear models under different loss functions
... This thesis investigates improved estimators of the parameters of the linear regression models with normal errors, under sample and non-sample prior in- formation about the value of the parameters. The ... See full document
15
Bayesian Analysis of two Censored Shifted Gompertz Mixture Distributions using Informative and Noninformative Priors
... likelihood function of shifted Gompertz mixture ...Bayesian estimation of the parameters when shape parameter is known, which includes the posterior distribution, Bayes estimators and posterior risks under ... See full document
17
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 ...Bayesian estimation of the ... See full document
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