[PDF] Top 20 Estimation of Scale Parameter Under a Bounded Loss Function
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Estimation of Scale Parameter Under a Bounded Loss Function
... be scale equivariant is that it is of the form 0 Z , where 0 satisfies ...invariant under scale ...the scale equivariant estimators ( , ) T U must have the ... See full document
5
Two-Step Sequential Procedure for the Point Estimation of the Exponential Scale Parameter
... point estimation of the exponential scale parameter with the inclusion of the cost function to the observed sample variance is ...the loss of accuracy due to fixed sample size and ... See full document
11
Semi- Minimax Estimation of the Scale Parameter of Laplace Distribution under Symmetric and Asymmetric Loss Functions
... minimax estimation of the scale parameter of Laplace distribution for different symmetric and asymmetric loss functions to see the comparative ... See full document
8
Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
... shape parameter in the Nakagami ...unknown parameter of inverse Rayleigh distribution using Squared error and Linex loss ...the parameter using different loss functions via simulated ... See full document
12
Bayesian Estimations with Fuzzy Data to Estimation Inverse Rayleigh Scale Parameter
... The scale parameter λ = ...membership function among four membership functions in the Imprecision Information System as the following Figure ... See full document
9
Minimax Estimation of the Scale Parameter in a Family of Transformed Chi-Square Distributions under Asymmetric Squared Log Error and MLINEX Loss Functions
... quadratic loss functions are conformed to the results of Podder et ...three loss functions in the family of transformed chi-square are general and containing the former works in this ... See full document
6
Estimation of the scale parameter of gamma model in presence of outlier observations
... and TSOKOS, C.P., A Study of an Ordinary and Empirical Bayes Approach to Reliability Estimation in the Gamma Life Testing Model, Proceedings 1971 Annual Reliability and Malntalnabil.ty S[r] ... See full document
7
Sequential point and interval estimation of scale parameter of exponential distribution
... Here we derive exact expressions for the stopping time and confidence coefficient of the fixed-width interval estimation procedure and for the stopping time associted with point estimati[r] ... See full document
8
ESTIMATION OF PARAMETERS AND RELIABILITY FUNCTION OF EXPONENTIATED EXPONENTIAL DISTRIBUTION: BAYESIAN APPROACH UNDER GENERAL ENTROPY LOSS FUNCTION
... over estimation and under estimation of same ...asymmetric loss functions are available in statistical literature and perhaps most widely used asymmetric loss function is LINEX ... See full document
18
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
Estimating a Bounded Normal Mean Relative to Squared Error Loss Function
... considered estimation of mean of a normal distribution under the additional assumption that the mean lies in the interval [ m m m , ], ...SEL function, it is compared with the other ... See full document
10
Changepoint Detection in the Presence of Outliers
... a loss function that is piecewise ...using bounded loss functions we can develop algorithms that are robust to the presence of arbitrarily large ...biweight loss function, and ... See full document
61
Minimax Estimator of a Lower Bounded Parameter of a Discrete Distribution under a Squared Log Error Loss Function
... the loss function (1), underestimation is penalized more heavily (per unit distance) than ...For estimation under the SLEL function, see Sanjari Farsipour and Zakerzadeh [13, 14], ... See full document
8
Bayesian Analysis of two Censored Shifted Gompertz Mixture Distributions using Informative and Noninformative Priors
... study under censoring sampling ...and loss functions at different sample ...shape parameter is known and when all parameters are unknown based on right censored ...Bayesian estimation of ... See full document
17
A NOTE ON BAYESIAN ANALYSIS OF DECAPITATED GENERALIZED POISSON DISTRIBUTION UNDER VARIOUS LOSS FUNCTIONS
... assumed loss function. This paper resolves the problem of estimation of one parameter decapitated generalized Poisson distribution; using a class of improper prior distributions under ... See full document
12
Vol 5, No 7 (2014)
... involving estimation of parameter Reliability function of Pareto type I distribution under Squared-Log error loss function, using exponential prior with small value of λ (λ = ... See full document
8
PARAMETER IDENTIFICATION FOR ASYMMETRICAL POLYNOMIAL LOSS FUNCTION
... examined parameter is considered with a probabilistic ...parametric estimation, where firstly one arbitrarily assumes a typical prob- ability distribution type, and next calculates the values of its ... See full document
11
BAYESIAN ESTIMATION OF THE SHAPE PARAMETER OF THE GENERALISED EXPONENTIAL DISTRIBUTION UNDER DIFFERENT LOSS FUNCTIONS
... a loss function must be specified and is used to represent a penalty associated with each of the possible ...appropriate loss function to be used, customarily, in most cases for convenience, ... See full document
12
Estimating a Bounded Normal Mean Under the LINEX Loss Function
... the parameter space is unbounded which seems to be never fulfilled in ...the parameter(s) of the underlying ...a bounded interval abound in practice ... See full document
8
Loss Minimization and Parameter Estimation with Heavy Tails
... only bounded low-order moments such as ...specific loss bounds for least squares linear regression, which match existing rates, but without requiring the noise or covariates to be bounded or ... See full document
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