Parameter shift in linear regression.
The mathematical framework for statistical decision theory is provided by the theory of probability which in turn has its foundations in the theory of measure and integration. In constructing a probability model for an experiment, the first step is a consideration of what are the possible outcomes o...
Main Author: | Tracey, Sister. St. G. |
---|---|
Other Authors: | Guttman, I. (Supervisor) |
Format: | Others |
Language: | en |
Published: |
McGill University
1963
|
Subjects: | |
Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=115293 |
Similar Items
-
Comparing least-squares and goal programming estimates of linear regression parameter.
by: Ahmad, Maizah Hura, et al.
Published: (2005) -
New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers
by: Al-Mash, Mohammad Sabry Abo
Published: (2017) -
Elements of linear regression: an expository development
by: Francis, Ollie Brown
Published: (2009) -
Estimation for non-linear functional relationships and general linear regression models
by: Egerton, M. F.
Published: (1979) -
Some algorithms for non-linear regression problems
by: Jerkins, James Monroe
Published: (2008)