Constrained least squares estimators of oblique common factors

Psychometrika ◽  
1981 ◽  
Vol 46 (3) ◽  
pp. 337-341 ◽  
Author(s):  
Roderick P. McDonald
Keyword(s):  
Least Squares ◽  
Common Factors ◽  
Constrained Least Squares ◽  
Least Squares Estimators

scholarly journals On the risk of convex-constrained least squares estimators under misspecification

Bernoulli ◽  
2019 ◽  
Vol 25 (3) ◽  
pp. 2206-2244
Author(s):  
Billy Fang ◽  
Adityanand Guntuboyina
Keyword(s):  
Least Squares ◽  
Constrained Least Squares ◽  
Least Squares Estimators

scholarly journals A New Inverted Topp-Leone Distribution: Applications to the COVID-19 Mortality Rate in Two Different Countries

Axioms ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 25 ◽  
Author(s):  
Ehab Almetwally ◽  
Randa Alharbi ◽  
Dalia Alnagar ◽  
Eslam Hafez
Keyword(s):  
Statistical Model ◽  
Least Squares ◽  
Weighted Least Squares ◽  
Likelihood Estimation ◽  
Linear Representation ◽  
Rate Function ◽  
Estimation Methods ◽  
Unknown Parameters ◽  
Least Squares Estimators ◽  
New Distribution

This paper aims to find a statistical model for the COVID-19 spread in the United Kingdom and Canada. We used an efficient and superior model for fitting the COVID 19 mortality rates in these countries by specifying an optimal statistical model. A new lifetime distribution with two-parameter is introduced by a combination of inverted Topp-Leone distribution and modified Kies family to produce the modified Kies inverted Topp-Leone (MKITL) distribution, which covers a lot of application that both the traditional inverted Topp-Leone and the modified Kies provide poor fitting for them. This new distribution has many valuable properties as simple linear representation, hazard rate function, and moment function. We made several methods of estimations as maximum likelihood estimation, least squares estimators, weighted least-squares estimators, maximum product spacing, Crame´r-von Mises estimators, and Anderson-Darling estimators methods are applied to estimate the unknown parameters of MKITL distribution. A numerical result of the Monte Carlo simulation is obtained to assess the use of estimation methods. also, we applied different data sets to the new distribution to assess its performance in modeling data.

Constrained least-squares

1978 ◽  
Vol 3 (1) ◽  
pp. 43-47 ◽  
Author(s):  
S.A. Coons
Keyword(s):  
Least Squares ◽  
Constrained Least Squares
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