Parametric estimation for the location parameter for symmetric distributions using moving extremes ranked set sampling with application to trees data

2003 ◽  
Vol 14 (7) ◽  
pp. 651-664 ◽  
Author(s):  
Mohammad Fraiwan Al-Saleh ◽  
Said Ali Al-Hadrami
Keyword(s):  
Location Parameter ◽  
Ranked Set Sampling ◽  
Parametric Estimation ◽  
Symmetric Distributions

A new systematic ranked set-sampling scheme for symmetric distributions

2019 ◽  
Vol 8 (3) ◽  
pp. 205-210
Author(s):  
Lakhkar Khan ◽  
Javid Shabbir ◽  
Umair Khalil
Keyword(s):  
Ranked Set Sampling ◽  
Sampling Scheme ◽  
Symmetric Distributions

On the Efficiency of Ranked Set Sampling Strategies in Parametric Estimation

1997 ◽  
Vol 47 (1-2) ◽  
pp. 23-42 ◽  
Author(s):  
Dayong Li ◽  
Nora Ni Chuiv
Keyword(s):  
Random Sample ◽  
Ranked Set Sampling ◽  
Parametric Estimation ◽  
Simple Random Sample ◽  
Sampling Strategies ◽  
Ranked Set Sample ◽  
Estimation Problems ◽  
Parameters Of Interest

In this paper we discuss the issue of efficiency of a ranked set sample compared to a simple random sample in the context of a variety of parametric estimation problems. We establish that the use of appropriate variations of a ranked set sample often results in improved estimation of many common parameters of interest with a substantially smaller number of measurements compared to a simple random sample.

scholarly journals On the Estimation of a Restricted Location Parameter for Symmetric Distributions

2008 ◽  
Vol 38 (2) ◽  
pp. 293-309 ◽  
Author(s):  
^|^Eacute;ric Marchand ◽  
Idir Ouassou ◽  
Amir T. Payandeh ◽  
François Perron
Keyword(s):  
Location Parameter ◽  
Symmetric Distributions

scholarly journals The Location Parameter Estimation of Spherically Distributions with Known Covariance Matrices

2020 ◽  
Vol 8 (2) ◽  
pp. 499-506
Author(s):  
Mahmoud Afshari ◽  
Hamid Karamikabir
Keyword(s):  
Location Parameter ◽  
Covariance Matrices ◽  
Spherically Symmetric ◽  
Shrinkage Estimators ◽  
Parameter Vector ◽  
Symmetric Distributions ◽  
The Mean ◽  
Simulation Results ◽  
Balance Error ◽  
Mean Vector

This paper presents shrinkage estimators of the location parameter vector for spherically symmetric distributions. We suppose that the mean vector is non-negative constraint and the components of diagonal covariance matrix is known.We compared the present estimator with natural estimator by using risk function.We show that when the covariance matrices are known, under the balance error loss function, shrinkage estimator has the smaller risk than the natural estimator. Simulation results are provided to examine the shrinkage estimators.

scholarly journals New Parametric Estimation Methods based on Ranked Set Sampling

2019 ◽  
Vol 32 (4) ◽  
pp. 1356-1368
Author(s):  
Mohamed ABDALLAH ◽  
Samir ASHOUR
Keyword(s):  
Ranked Set Sampling ◽  
Parametric Estimation ◽  
Estimation Methods
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