unbiased estimator
INFERENCE ON P(X KeywordsBayes Estimator, Confidence Interval, Credible Interval, Delta Method,Markov Chain Monte Carlo, Maximum Likelihood Estimator, Uniformly Minimum Variance Unbiased EstimatorDescriptionInference on R = P(X < Y ) has been considered when X and Y belong to independent exponentiated family of distributions. Maximum Likelihood Estimator (MLE), Uniformly Minimum Variance Unbiased Estimator (UMVUE) and Bayes Estimator of R has been derived and compared through simulation study. Exact and approximate confidence intervals and Bayesian credible intervals have also been derived.Date2011-04-27Identifier https://www.pjsor.com/index.php/pjsor/article/view/208 Source Pakistan Journal of Statistics and Operation Research; Vol 7. No. 2, July 2011 Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810
... Maximum Likelihood Estimator (MLE), Uniformly Minimum Variance Unbiased Estimator (UMVUE) and Bayes Estimator of R has been derived and compared through simulation study. Ex[r] ...
30
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
... In this paper, we show that estimating the variance of K-fold cross-validation is difficult. Esti- mating a variance can be done from independent realizations or from dependent realizations whose correlation is known. ...
17
ALMOST UNBIASED ESTIMATOR FOR ESTIMATING POPULATION MEAN USING KNOWN VALUE OF SOME POPULATION PARAMETER(S)
... In this paper we have proposed an almost unbiased estimator using known value of some population parameter(s). Various existing estimators are shown particular members of the proposed estimator. ...
14
A new diversity estimator
... From Table 3, we see that the deviations of the MLEs from the true value GS = 0.95004 are much greater than those of our proposed estimates. This is due to the facts that GS has a large bias and that the sample coverage ...
13
BEST LINEAR UNBIASED ESTIMATE USING BUYS-BALLOT PROCEDURE WHEN TREND-CYCLE COMPONENT IS LINEAR
... It is clear from Table 2 that the trend-cycle estimates are the same for both the additive and multiplicative models. We can also note from Table 2 that estimates of the intercept (a) and the seasonal indices S j , i ...
16
An Efficient Estimator Improving the Searls’ Normal Mean Estimator for Known Coefficient of Variation
... “Proposed Unbiased (Efficient) Estimator Of Normal Mean (PPDUEFFESTROMEAN)” of the normal population mean lies in trying to know it through an illustrative “Simulation Empirical Numerical Study”, as is ...
5
Estimation of the Population Mean Using Paired Ranked Set Sampling
... an unbiased estimator of the population mean regardless of the errors in ranking, and has smaller variance than the usual estimator based on SRS with same sample ...the estimator with errors ...
7
Distribution of Ratios of Generalized Order Statistics From Pareto Distribution and Inference
... The aim of this paper is to study distribution of ratios of generalized order statistics from pareto distribution. parameter estimation of Pareto distribution based on generalized order statistics and ratios of them have ...
7
On sequential estimation of a normal distribution having equal mean and variance
... Mukhopadhyay and Cicconetti (2004) derived the Maximum Likelihood Estimator (MLE) and the Uniformly Minimum Variance Unbiased Estimator (UMVUE) of θ in N (θ, θ) and discussed their appli[r] ...
11
Generalized Random Coefficient Estimators of Panel Data Models: Asymptotic and Small Sample Properties
... In pooled cross-sectional and time series data (panel data) models, the pooled least squares (classical pooling) estimator is the best linear unbiased estimator (BLUE) under the classical assumptions ...
24
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics
... an unbiased estimator of the true gradient ∇ log π(θ), the additional perturbation due to the gradient stochasticity is of order h, smaller than the √ h order of the injected noise, and so the limiting ...
45
Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
... an unbiased estimator of the likelihood is used within a Metropolis–Hastings chain, it is necessary to trade off the number of Monte Carlo samples used to construct this estimator against the ...
35
Deviation of the Variances of Classical Estimators and Negative Integer Moment Estimator from Minimum Variance Bound with Reference to Maxwell Distribution
... likelihood estimator (MLE) and estimator by method of moments (MME) with the negative integer moment estimator ...any unbiased estimator of unknown parameter of the Maxwell distribution ...
6
A note on Hammersley's inequality for estimating the normal integer mean
... likelihood estimator (MLE) d = [X n ], nearest integer to the sample mean, as an unbiased estimator of θ and extended the Cramér-Rao ...any unbiased estimator of θ is significantly ...
10
Estimation of the parameter in the discrete "Taxi" problem, with and without replacement
... Various other estimators including the Minimum Variance Unbiased estimator and Geary's closest estimator are compared in the continuous and two discrete cases.. Recommendations are made [r] ...
18
On stability of generalized phase retrieval and generalized affine phase retrieval
... two metrics. The second aspect deals with the Cramer–Rao lower bound of generalized phase retrieval and generalized affine phase retrieval in an additive white Gaussian noise model. The Cramer–Rao lower bound of any ...
13
The Zig Zag Process and Super Efficient Sampling for Bayesian Analysis of Big Data
... our unbiased estimator, then the Zig-Zag process can be super-efficient: after an initial pre-processing step, essentially inde- pendent samples from the posterior distribution are obtained at a ...
35
Approximation of unbiased convex classification error rate estimator
... convex estimator and optimal unbiased ...each estimator equal, ...convex estimator and optimal unbiased estimator the number of runs is set to 160, in repeated 10-fold ...
8
Genetic association analysis of indica rice yield and related traits in irrigated ecosystems
... Full name apparent amylose content amylose content Aluminium association mapping best linear unbiased estimator bulk segregant analysis bundle sheath cells composite interval mapping cen[r] ...
230
Blinded versus unblinded estimation of a correlation coefficient to inform interim design adaptations
... This estimator requires unblinding of the treatment group at the time of the interim ...variance estimator that is unbiased if there are no group differences but otherwise overestimates the within ...
15