squared error (SE) loss function
Estimating a Bounded Normal Mean Relative to Squared Error Loss Function
... mean X , is the maximum likelihood estimator which under squared error loss function is minimax and admissible estimator. In many practical situations, is known in advance to lie in an ...
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Bayesian inference on reliability in a multicomponent stress-strength bathtub-shaped model based on record values
... quadratic loss function is considered. A very popular quadratic loss is the squared error (SE) loss function given by ...
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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 ...the squared error ...
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Vol 9, No 6 (2018)
... asymmetric loss functions, such as the squared error, linex and general entropy loss ...binary loss function and squared error loss ...square error ...
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A NOTE ON BAYESIAN ANALYSIS OF DECAPITATED GENERALIZED POISSON DISTRIBUTION UNDER VARIOUS LOSS FUNCTIONS
... a loss function must be specified and the loss function is used to represent a penalty associated with each of the possible ...simple squared error loss function to ...
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Bayesian Analysis of the Mixture of Frechet Distribution under Different Loss Functions
... under squared error loss function, precautionary loss function and DeGroot loss ...different loss functions, their statistical properties have been simulated for ...
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Loss Functions in Restricted Parameter Spaces and Their Bayesian Applications
... Squared error loss remains the most commonly used loss function for constructing a Bayes estimator of the parameter of ...of loss functions for parameters defined on restricted ...
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Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics
... Linex loss function have the smallest ER's as compared with their corresponding estimates under squared error loss function or ...
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Bayesian Analysis of Rayleigh Distribution
... of loss function is an integral part of Bayesian ...appropriate loss function to be used, most of the works on point estimation and point prediction assume the underlying loss ...
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Bayesian Estimation for ISB p-dim Rayleigh distribution under type-II censored data using Lindley's Approximation
... the loss function. The squared-error loss function (SELF) is a symmetric function such that the losses due to overestimation and underestimation of equivalent extent are ...
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Bayesian Estimation of Reliability Function for A Changing Exponential Family Model under Different Loss Functions
... the loss criterion is specified in order to obtain best ...of loss function is squared error loss function (SELF) which assigns equal magnitudes to both positive and ...
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Bayesian Analysisof Stress-Strength Reliability For Inverse Exponential Distribution Under Various Loss Functions
... different loss functions such as squared error loss function (SELF), Linear exponential (LINEX) loss function and general entropy loss function ...
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Bayesian Estimation Of Shift Point In Poisson Model Under Asymmetric Loss Functions
... under Squared error loss function, Linex loss function, Precautionary loss function and General entropy loss function by making programs in ...
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Vol 5, No 7 (2014)
... Reliability function of Pareto type I distribution under Squared-Log error loss function, using exponential prior with small value of λ (λ = ...
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Bayes rules for optimally using Bayesian hierarchical regression models in provider profiling to identify high-mortality hospitals
... used loss func- tions (generalized 1-0 loss functions; absolute error loss; squared error loss) to the setting of provider ...a function of the model parame- ters, ...
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Minimax Estimator of a Lower Bounded Parameter of a Discrete Distribution under a Squared Log Error Loss Function
... In this paper, we consider a class of discrete distributions including Binomial ( , ), k θ Negative Binomial ( , ), r θ Discrete Weibull ( ), θ Consul ( , ) k θ and some other distributions as well, and provide a ...
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A POMDP Framework for Coordinated Guidance of Autonomous UAVs for Multitarget Tracking
... a function of the tracking algorithm; the multiple hypothesis tracking (MHT) algorithm with an unlimited hypothesis set represents the true Bayesian update under standard assumptions [34], but any practical ...
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An Empirical Study on Mushroom Disease Diagnosis:A Data Mining Approach
... of error rate ...of error rates namely Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Relative Absolute Error (RAE), Root Relative Squared Error (RRSE) ...
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Confidence intervals for the estimated smoothing parameter in nonparametric regression
... Confidence intervals are constructed for the smoothing parameter that minimizes average squared error using the asymptotic distribution of the cross-validation function and by a version [r] ...
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Performance Analysis of Adaptive Channel Equalizer using Population based Update Algorithms
... objective function and bit error rate vs. SNR plot is compared with Bacteria foraging optimization (BFO) based learning algorithm. The entire paper is organized as follows. In section 2, basic model of ...
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