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Exact Likelihood Ratio Test for the Parameters of the Linear Regression Model with Normal Errors

open access: yesMeasurement Science Review, 2009
Chvosteková Martina, Witkovský Viktor
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The Classical Linear Regression Model

2014
The regression model of Chapter 6 is revisited using the inferential framework developed in subsequent chapters. The theory underlying the least squares approach is developed in more detail, so providing the ‘algebra’ of regression. The concepts of population and sample regression functions are introduced, along with the ‘classical assumptions’ of ...
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Ordinal regression model and the linear regression model were superior to the logistic regression models

Journal of Clinical Epidemiology, 2006
Ordinal scales often generate scores with skewed data distributions. The optimal method of analyzing such data is not entirely clear. The objective was to compare four statistical multivariable strategies for analyzing skewed health-related quality of life (HRQOL) outcome data.
Colleen M, Norris   +6 more
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The Linear Regression Model

2009
The main focus of this chapter will be the linear regression model and its basic principle of estimation.We introduce the fundamental method of least squares by looking at the least squares geometry and discussing some of its algebraic properties.
Helge Toutenburg, null Shalabh
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Regression and the Linear Model

1981
A key feature in most statistical analyses is a statistical model and it will be helpful to look at examples of some simple models, and then discuss some terminology.
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The -estimator for functional linear regression model

Statistics & Probability Letters, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lele Huang, Huiwen Wang, Andi Zheng
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