scholarly journals On consistency of least square estimators in the simple linear EV model with negatively orthant dependent errors

2017 ◽  
Vol 11 (1) ◽  
pp. 1434-1463 ◽  
Author(s):  
Xuejun Wang ◽  
Shuhe Hu
Keyword(s):  
Least Square ◽  
Ev Model ◽  
Least Square Estimators

On the statistical properties of least-square estimators of layered neural networks

2004 ◽  
Vol 35 (12) ◽  
pp. 1-9
Author(s):  
Masashi Kitahara ◽  
Taichi Hayasaka ◽  
Naohiro Toda ◽  
Shiro Usui
Keyword(s):  
Neural Networks ◽  
Statistical Properties ◽  
Least Square ◽  
Least Square Estimators

One Parameter A (α) Distribution: Different Methods of Estimation

2021 ◽  
Vol 8 (1) ◽  
pp. 01-09
Author(s):  
Sanku Dey ◽  
Mahendra Saha ◽  
Sankar Goswami
Keyword(s):  
Unknown Parameter ◽  
Parametric Bootstrap ◽  
Real Data ◽  
Point Of View ◽  
Least Square ◽  
Bootstrap Confidence Interval ◽  
Likelihood Estimator ◽  
Data Set ◽  
Von Mises ◽  
Least Square Estimators

This paper addresses the different methods of estimation of the unknown parameter of one parameter A(α) distribution from the frequentist point of view. We briefly describe different approaches, namely, maximum likelihood estimator, least square and weighted least square estimators, maximum product spacing estimators, Cram´er-von Mises estimator and compare those using extensive numerical simulations. Next, we obtain parametric bootstrap confidence interval of the parameter using frequentist approaches. Finally, one real data set has been analysed for illustrative purposes.

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