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Understanding Regression Analysis by Allen, Michael Patrick is a nonfiction available to read on EtoBox.
What is Understanding Regression Analysis about?
<p><p>by Assuming It Is Possible To Understand Regression Analysis Without Fully Comprehending All Its Underlying Proofs And Theories, This Introduction To The Widely Used Statistical Technique Is Accessible To Readers Who May Have Only A Rudimentary Knowledge Of Mathematics. Chapters Discuss: <p>-descriptive Statistics Using Vector Notation And The Components Of A Simple Regression Model;<br>-the Logic Of Sampling Distributions And Simple Hypothesis Testing; <br>-the Basic Operations Of Matrix Algebra And The Properties Of The Multiple Regression Model; -testing Compound Hypotheses And The Application Of The Regression Model To The Analyses Of Variance And Covariance, And <br>-structural Equation Models And Influence Statistics.</p> <h3>booknews</h3> <p>for Students, Researchers, And Policy-makers With Basic Familiarity, Allen (washington State U., Pullman) Provides A Guide To Correctly Applying And Interpreting The Results Of This Statistical Technique Ubiquitous In The Social Sciences<-->by Explaining The Underlying Logic Of Sample Distributions, Hypothesis Testing, Matrix Algebra, And Regression Models (linear And Multiple). Mercifully, Statistical Derivations Are Relegated
Who reads Understanding Regression Analysis?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Allen, Michael Patrick
- Publisher
- Plenum Press
- Published
- 1997
- Language
- EN
- ISBN
- 9780306456480
- Category
- nonfiction
- Subjects
- Science, Medical, Mathematics
Other editions & translations
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