maximum-likelihood estimator
Stochastic Restricted Maximum Likelihood Estimator in Logistic Regression Model
... the Maximum Likelihood Estimator (MLE) becomes ...Liu estimator in lo- gistic regression model with exact linear ...Restricted Maximum Likelihood Estimator (SRMLE) for the ...
15
Exact properties of the maximum likelihood estimator in exponential regression models: a differential geometry approach
... the maximum likelihood estimator ...the estimator be a known function of the data, but does require that the manifold on which the MLE is …xed ...the estimator is only implicitly de…ned ...
30
The Poisson quasi maximum likelihood estimator: A solution to the “adding up” problem in gravity models
... model produces estimates in which, summing across all partners, actual and estimated total trade flows are identical. Other methods such as OLS do not have this desirable property. Indeed, Poisson is the only ...
12
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
... distributions. Maximum Likelihood Estimator (MLE), Uniformly Minimum Variance Unbiased Estimator (UMVUE) and Bayes Estimator of R has been derived and compared through simulation ...
30
Parallel Computation of a Maximum-Likelihood Estimator of a Physical Map
... The maximum-likelihood estimator mentation of the maximum-likelihood estimator re- optimizes a likelihood function defined by the ordering sulted in the correct probe ...
23
Asymptotic Efficiency of the Maximum Likelihood Estimator for the Box Cox Transformation Model with Heteroscedastic Disturbances
... the maximum likelihood estimator (MLE) for the Box-Cox transformation model with heteroscedastic ...efficient estimator if the “small σ ” condition is satisfied and the number of para- meters ...
8
Asymptotic properties of maximum likelihood estimator for some discrete distributions generated by
... The large-sample distribution of the Maximum Likelihood Estimator (M.L.E.) of the scale parameter for some discrete distributions gen- erated by Cauchy stable law are investigated. The [r] ...
6
Statistical Inference for a two station tandem queue with atmost one customer to wait between the stations
... A maximum likelihood estimator (MLE), a consistent asymptotically normal (CAN) estimator and asymptotic confidence limits for the expected number of customers in the system for a sequential ...
10
On the Restricted Almost Unbiased Ridge Estimator in Logistic Regression
... Logistic Estimator (AULLE) (Xinfeng, 2015 ...sion estimator to improve its ...restricted maximum likelihood estimator (RMLE) by incorporating the restricted least squares ...
10
MoL 2004 02: A Consistent and Efficient Estimator for the Data Oriented Parsing Model
... DOP maximum-likelihood estimator) is of no practical use since it only assigns nonzero weights to the fragments that occur as full parse trees in the training ...
69
Parameter Estimation of Maneuvering Target Using Maximum Likelihood Estimation for MIMO Radar with Colocated Antennas
... This paper considers parameters estimation of maneuvering target in colo- cated MIMO radar by developing a maximum-likelihood estimator. The MUl- tiple SIgnal Classification (MUSIC) is applied in the ...
7
Estimation of the Generalized Power Weibull Distribution Parameters Using Progressive Censoring Schemes
... the maximum likelihood estimator (MLE) and Bayesian estimation for the shape parameters and of the generalized power Weibull (GPW) distribution based on complete censoring data, type-II censoring ...
11
ESTIMATORS OF LINEAR REGRESSION MODEL WITH AUTOCORRELATED ERRROR TERMS AND PREDICTION USING CORRELATED UNIFORM REGRESSORS
... Square estimator (OLS), Cochrane-Orcutt estimator (COR), Maximum Likelihood estimator (ML) and the estimators based on Principal Component analysis (PC) in prediction of linear ...
10
Qml inference for volatility models with covariates
... The remainder of the paper is organized as follows. In Section 2, we first discuss the strict stationarity. We then introduce the Gaussian quasi-maximum likelihood estimator for APARCH-X model (2) ...
40
International Journal of Data Envelopment Analysis and *Operations Research*
... the best one for small moderate whereas the maximum likelihood estimator is the best to estimate the parameter for moderate and large samples. Other empirical experiments are conducted to build a ...
9
Sampling Distribution of ML Estimators: Cauchy Example »
... We show how to use the Edgeworth series to construct an accurate approximation to the sampling distribution of the maximum likelihood estimator of a parameter of a Cauchy distribution. We then ...
14
A COMPARISON OF NONPARAMETRIC ESTIMATORS FOR LENGTH DISTRIBUTION IN LINE SEGMENT PROCESSES
... optimal estimator in the sense of maximizing the likelihood function was found in Wijers (1997) for a stationary planar Poisson line segment process observed through a convex ...This estimator is the ...
10
On Hybrid Censored Inverse Lomax Distribution: Application to the Survival Data
... the maximum likelihood estimator (MLE) of the mean and interval estimates in one-parameter exponential distribution based on a hybrid type II censored ...
19
Efficiency of broadband internet adoption in European Union member states
... This paper is devoted to econometric analysis of broadband adoption efficiency in EU member states. Stochastic frontier models are widely used for efficiency estimation. We enhanced the stochastic frontier model by ...
19
Mixed Hidden Markov Models for Clinical Research with Discrete Repeated Measurements
... the maximum-likelihood estimator, under certain regularity conditions ...the maximum-likelihood estimator (MLE) of the HMM ...a maximum-likelihood estimation via ...
7