Results 11 to 20 of about 6,072 (305)

Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference

Journal of Statistical Theory and Applications (JSTA), 2021
In this paper, the exact and explicit expressions for single, product, and conditional moments for inverted Kumaraswamy distribution using dual generalized order statistics (dgos) are derived. Further, the expression for maximum likelihood estimator (MLE)
Bushra Khatoon, M. J. S. Khan, Zubdahe Noor   +2 more
doaj   +1 more source

Estimation of the reciprocal of the mean of the Inverse Gaussian distribution with prior information

Statistica, 2013
This paper considers the problem of estimating the reciprocal of the mean of the Inverse Gaussian distribution when a prior estimate or guessed value λ0 of the shape parameter λ is available.
Housila P. Singh, Sheetal Pandit
doaj   +1 more source

Sample Design and Estimation of Parameters of Half Logistic Distribution Using Generalized Ranked-Set Sampling

Journal of Statistical Theory and Applications (JSTA), 2020
The ranked-set sampling technique has been generalized so that a more efficient estimator may be obtained. This technique allows more than one unit from each set to be quantified.
A. Adatia, A.K.MD. Ehsanes Saleh
doaj   +1 more source

A comparison between Bayes estimation and the estimation of the minimal unbiased quadratic Standard of the bi-division variance analysis model in the presence of interaction

Tikrit Journal of Pure Science, 2020
In this study, the variance compounds parameters of the mixed bi-division variance analysis sample are estimated. This estimation is obtained, by Bayes quadratic unbiased estimator. The second way to estimate variance compounds parameters of a suggested
Shaymaa Riyadh Thanoon
doaj   +2 more sources

Efficient Estimator of Parameters of a Multivariate Geometric Distribution

Journal of Statistical Theory and Applications (JSTA), 2018
The maximum likelihood estimator (MLE) and uniformly minimum variance unbiased estimator (UMVUE) for the parameters of a multivariate geometric distribution (MGD) have been derived.
U. J. Dixit, S. Annapurna
doaj   +1 more source

Linear Spaces and Minimum Variance Unbiased Estimation

The Annals of Mathematical Statistics, 1971
Consideration is given to minimum variance unbiased estimation when the choice of estimators is restricted to a finite-dimensional linear space. The discussion gives generalizations and minor extensions of known results in linear model theory utilizing both the coordinate-free approach of Kruskal and the usual parametric representations.
Seely, Justus, Zyskind, George
openaire   +3 more sources

ON COMPLETE SUFFICIENT AND UNIFORMLY MINIMUM VARIANCE UNBIASED ESTIMATORS

, 1978
Erik Torgersen
openalex   +2 more sources

On sequential estimation of a normal distribution having equal mean and variance

Statistica, 2017
Mukhopadhyay and Cicconetti \cite{mc2004} derived the Maximum Likelihood Estimator (MLE) and the Uniformly Minimum Variance Unbiased Estimator (UMVUE) of $\theta$ in $N (\theta, \theta)$ and discussed their application to purely sequential and two-stage ...
Saralees Nadarajah, Idika E. Okorie
doaj   +1 more source

Estimation of the Parameters of a Bivariate Geometric Distribution [PDF]

Journal of Statistical Theory and Applications (JSTA), 2015
The uniformly minimum variance unbiased estimators (UMVUE) of the parameters and reliability functions of a bivariate geometric distribution(BGD) have been derived.The exact variances of the maximum likelihood estimator (MLE) and of UMVUE have been ...
U.J. Dixit, S. Annapurna
doaj   +1 more source

A Bayesian Shrinkage Approach in Weibull Type -II Censored Data Using Prior Point Information

Revstat Statistical Journal, 2009
In the present paper we study the performance of the Bayes Shrinkage estimators for the scale parameter of the Weibull distribution under the squared error loss and the LINEX loss functions in the presence of a prior point information of the scale ...
Gyan Prakash , D.C. Singh
doaj   +1 more source