[PDF] Top 20 Estimation Based on an Appropriate Choice of Loss Function
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Estimation Based on an Appropriate Choice of Loss Function
... inappropriate choice of the loss ...suitable loss function and show that the MLE has some optimal properties that make it reasonable to be ...the appropriate choice of ... See full document
10
ESTIMATION OF PARAMETERS AND RELIABILITY FUNCTION OF EXPONENTIATED EXPONENTIAL DISTRIBUTION: BAYESIAN APPROACH UNDER GENERAL ENTROPY LOSS FUNCTION
... parameter estimation for EE parameters which include maximum likelihood estimation, moment method of estimation and probability plot method of estimation based on complete random ... See full document
18
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 ... See full document
22
Estimation under a Finite Mixture of Exponentiated Exponential Components Model and Balanced Square Error Loss
... methods, based on square error loss function and objective prior, are used to obtain estimators based on balanced square error loss function for the parameters, survival and ... See full document
11
An improved Bayes empirical Bayes estimator
... Bayesian estimation problem of θ under squared er- ror loss function based on X, as well as some additional data available from other similar experiments according to an empirical Bayes ... See full document
11
A multi objective hyper heuristic based on choice function
... simple choice function, for the first time, is employed as a (high level heuristic) selection mechanism to deal with the multi-objective optimization ...The choice function adaptively ranks ... See full document
51
Updating of travel behavior parameters and estimation of vehicle trip-chain data based on plate scanning
... method based on the maximum-likelihood technique for updating travel behavior models parameters and estimation of vehicle trip chain by using sensor-to-sensor travel time of each sensor path collected from ... See full document
27
SOME BAYES ESTIMATION STRATEGIES IN EXPONENTIAL DISTRIBUTION UNDER A WEIGHTED LOSS FUNCTION
... known parameter θ. Also, let (χ, B, p) denoted the probability space generated by X, where χ ⊂ R n , B is the σ-field of χ, p = {p θ (x)|θ ∈ Θ} and Θ is the space parameter. In estimation of θ, let L(θ, δ) be the ... See full document
9
Estimation of the Survivorship Function Using the Cox-Proportional Hazard Model with Relaxed Tsiatis Assumptions
... survivor function is the Cox-Proportional Hazard ...hazard function of a particular factor of interest remains unchanged throughout the ...hazard function is constant over distinct ...hazard ... See full document
6
Essays on Robust Model Selection and Model Averaging for Linear Models
... robust estimation of scale as discussed in Martin et ...criteria based on loss ...(S- estimation), and MAD of the residuals from ...The loss function in the above criteria may ... See full document
136
Wavelet estimation of copula function based on cencored data
... Here we present an application of the proposed methodology for the data of [13], where the first observation is censored. The data consist of the indemnity payment (LOSS) and the allocated loss adjustment ... See full document
15
Bayesian Analysis of two Censored Shifted Gompertz Mixture Distributions using Informative and Noninformative Priors
... and loss functions at different sample ...unknown based on right censored data. We have discussed Bayesian estimation of reliability function of mixture shifted Gompertz distribution using ... See full document
17
Effects of a weight loss plus exercise program on physical function in overweight, older women: a randomized controlled trial
... weight loss intervention in an older adult population with impaired physical ...weight loss plus exercise ...the appropriate intensity and used proper exercise ... See full document
9
PubMedCentral-PMC4762277.pdf
... composite estimation for partially overlapping models, first introducing the notion of partially overlapping regression models on a given ...composite loss function. Its regular penalty ... See full document
21
Estimation in Censored Sample Using Linex Loss Function
... (under) estimation may exist and Varian (1975) proposed Linex (linear-exponential) loss function which may be ...Linex loss function which rises exponentially on one side of zero and ... See full document
6
Estimation of Scale Parameter Under a Bounded Loss Function
... this loss with its infinite maximum value, is not appropriate in describing , for example, the loss associated with a ...bounded loss functions are more appropriate than the unbounded ... See full document
5
Shrinkage estimation with a matrix loss function
... matrix loss function ...scalar loss function ...matrix choice when the rows measure commensurate quantities while the columns are qualitatively ...matrix loss function ... See full document
9
On the choice of an auxiliary function in the M/G/∞ estimation
... process is Poisson with intensity λ. For the discrete-time M/G/∞ queueing model, see Pickands and Stine (1997). Bingham and Pitts (1999) developed nonparametric methods for the M/G/∞ queueing model based on the ... See full document
8
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 ... See full document
5
Backtesting VaR Models: A Τwo Stage Procedure
... In our dataset and for the S&P500 index, five models (FIEGARCH-N, EGARCH-N, APARCH-N, TARCH-N, and FIGARCH-GED) generate adequate VaR forecasts, as the p-values of the backtesting measures are greater than 10% for ... See full document
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