Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and …
Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and …
Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experim…
A well-balanced introduction to probability theory and mathematical statistics Featuring a comprehensive update, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided into three parts, the…
The book covers the basic statistical tools needed to analyse cross-sectional data in order to identify, quantify and evaluate possible socio-economic relationships. It contains both theoretical summaries and practical examples and exercises, some of which are solved using Excel…
"Regression theory, while the most accurate and appropriate method for business valuation, is often avoided by appraisers out of fear that its complex mathematical model won't be understood by judges and juries. Instead, they opt for the easy sell, using median and quartiles to …
