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Martin Elff

In: The SAGE Handbook of Regression Analysis and Causal Inference

Chapter 2: Estimation Techniques: Ordinary Least Squares and Maximum Likelihood

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Estimation Techniques: Ordinary Least Squares and Maximum Likelihood
Estimation techniques: Ordinary least squares and maximum likelihood
MartinElff
Introduction

A major task in regression analysis and in much of data analysis in the social sciences in general is the construction of a model that best represents (1) substantial assumptions and hypotheses a researcher may entertain and (2) auxiliary information or assumptions about the way the data under analysis are generated. To complete this task of model specification successfully, a researcher will need a fair knowledge of a variety of statistical models and their assumptions. Introducing these is one of the main purposes of this volume. In contrast to most other chapters, the present one presumes all questions with regard to model specification as already addressed and focuses on the ...

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