A New Method For Point Estimating Parameters Of Simple Regression

A New Method For Point Estimating Parameters Of Simple Regression

A new method is described for finding parameters of univariate regression model: the greatest cosine method. Implementation of the method involves division of regression model parameters into two groups. The first group of parameters responsible for the angle between the experimental data vector and...

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Bibliographic Details
Main Authors: Boris Nikolaevich Kazakov, Andrei Vyacheslavovich Mikheev
Format: Article
Language:Russian
Published: Institute of Computer Science 2014-02-01
Series:Компьютерные исследования и моделирование
Subjects:
simple regression
point estimation
method of least squares
two-exponential luminescence decay
boiling point of water
electrical resistivity
Bloch–Gruneisen function
Online Access:http://crm.ics.org.ru/uploads/crmissues/crm_2014_1/14105.pdf

Internet

http://crm.ics.org.ru/uploads/crmissues/crm_2014_1/14105.pdf

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