Improved Estimation Under Linex Loss Function
Bayesian Estimation for the Pareto Income Distribution under Asymmetric LINEX Loss Function
... Bayes estimation of some of the parameters of interest under an asym- metric LINEX loss function, using suitable choice of priors when the scale parameter is known and ...risks ...
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Estimation in Censored Sample Using Linex Loss Function
... University of Petroleum & Energy Studies, Dehradun-248007, India Abstract: - In life testing experiment, it is common practice to terminate the experiment when certain numbers of items were failed or a stipulated time ...
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Bayes Estimation of Parameter of Laplace Distribution Under a New LINEX-Based Loss Function
... Loss function plays important role in Bayesian statistical ...error loss function is the most often used function in Bayesian ...error loss function cannot work ...
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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 ...
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Performance of preliminary test estimator under linex loss function
... error loss (SEL) function is one of the most widely used loss func- tions in decision ...symmetric loss function is due to its mathematical and interpretational ...
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Shrinkage Testimator in Gamma Type II Censored Data under LINEX Loss Function
... testimators under the invariant version of LINEX loss function for the scale parameter of an exponential distribution in presence Type-II censored ...suggested under the LINEX ...
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Preliminary Test Estimation and Shrinkage Preliminary Test Estimation in Normal and Negative Exponential Distribution Using Linex Loss Function
... statistical estimation procedure prior information regarding the unknown value of parameter is utilizing and it may result in a decrease of sampling variability of the estimator or it may save sample size which is ...
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Estimation of Scale Parameter Under a Bounded Loss Function
... quadratic loss function has been used by decision-theoretic statisticians and economists for many ...the estimation of scale parameter under a bounded loss function, which is ...
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Improved estimation for linear models under different loss functions
... 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 ...
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Improved estimation for linear models under different loss functions
... the loss function, such as symmetry, is not generally appreci- ...error loss function it cannot differentiate between the overestimation and underestimation of any parame- ...error loss ...
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Bayesian estimation of the Rayleigh distribution under different loss function
... the estimation of the pa- rameter and some reliability characteristics, as the reliability and the failure rate ...approach under different loss function (squared loss and Linex ...
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Shrinkage estimation of elliptical regression model under balanced loss function
... Population Mean in Two Phase Sampling Muhammad Noor-ul-amin and Muhammad Hanif 103 11. 025: On Bayesian Reliability Function Estimation of Burr-XII Distribution Dhwyia Salman Hassan, Nashaat Jaisam Al-Anber ...
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Multistage Sampling Strategies and Inference in Health Studies Under Appropriate Linex Loss Functions
... lanobis in 1940. He was the pioneer of using a pilot sample before large sample surveys. Abraham Wald was the forerunner of sequential analysis who along with his collaborators systematically developed theory and ...
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SOME BAYES ESTIMATION STRATEGIES IN EXPONENTIAL DISTRIBUTION UNDER A WEIGHTED LOSS FUNCTION
... A. KIAPOUR AND M. NAGHIZADEH QOMI Abstract. In Bayesian approach, prior knowledge is often vague and any elicited prior distribution is only an approximation to the true one. E-Bayes and robust Bayes approaches consider ...
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Shrinkage estimation with a matrix loss function
... matrix loss function focuses on the error for each linear combination of the elements of θ ; the scalar loss function pools the errors across the elements of θ ...that under the matrix ...
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ESTIMATION OF PARAMETERS AND RELIABILITY FUNCTION OF EXPONENTIATED EXPONENTIAL DISTRIBUTION: BAYESIAN APPROACH UNDER GENERAL ENTROPY LOSS FUNCTION
... entropy loss function, Type II censoring, Simulated ...distribution function and survival function can not be expressed in a nice closed form if the shape parameter is not an ...
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Minimax Estimation of the Mean Matrix of the Matrix Variate Normal Distribution under the Divergence Loss Function
... divergence loss function in (1) has attrac- tive properties not shared by other loss functions, including the balanced loss ...information function, used commonly to measure the ...
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Bayesian Estimation of Reliability Function for A Changing Exponential Family Model under Different Loss Functions
... rate function, which are observed due to major operations or specific activities, that is may observed at some point of time instability in the sequence of life ...
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Minimax Estimation of the Scale Parameter of Laplace Distribution under Squared-Log Error Loss Function
... More information about the firm can be found on the homepage: http://www.iiste.org CALL FOR JOURNAL PAPERS There are more than 30 peer-reviewed academic journals hosted under the hosting platform. Prospective ...
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Bayes Estimation of Traffic Intensity in M/M/1 Queue under a Precautionary Loss Function
... 5. Conclusion A Bayesian approach to estimation in M/M/1 queue has been presented. Unlike the frequentist approach, which has been shown to possess a number of undesirable properties, Bayesian technique lends ...
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