Regression with Dummy Variables (Quantitative Applications in the Social Sciences)

✍ Scribed by Professor Melissa A Hardy

Publisher: Sage Publications, Inc
Year: 1993
Tongue: English
Leaves: 96
Series: Quantitative Applications in the Social Sciences
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Like most of the books in the Sage Quantitative Applications in the Social Sciences, this is clearly written and understandable. This is one of those rare statistics texts that is readable and useful. If you need to understand or use dummy variables in regression, this book will save you enormous amounts of time and frustration. Strongly recommended.

📜 SIMILAR VOLUMES

Regression with Dummy Variables (Quantit

📁 Regression with Dummy Variables (Quantitative Applications in the Social Sciences) issue 93

✍ Professor Melissa A Hardy 📂 Library 📅 1993 🏛 Sage Publications, Inc 🌐 English

It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behavior, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative, dummy

Quantile Regression (Quantitative Applic

📁 Quantile Regression (Quantitative Applications in the Social Sciences) (v. 149)

✍ Lingxin Hao, Daniel Q. Naiman 📂 Library 📅 2007 🌐 English

Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between th

Applied Regression: An Introduction (Qua

📁 Applied Regression: An Introduction (Quantitative Applications in the Social Sciences)

✍ Michael S. Lewis-Beck 📂 Library 📅 1980 🏛 Sage Publications, Inc 🌐 English

Applied regression allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. Provides a lucid discussion of more specialized subjects: analysis of residuals, interaction effects, specification error, multicollineari

Applied Logistic Regression Analysis (Qu

📁 Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences)

✍ Scott William Menard 📂 Library 📅 1995 🏛 Sage Publications, Inc 🌐 English

Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate a

Applied Regression: An Introduction (Qua

📁 Applied Regression: An Introduction (Quantitative Applications in the Social Sciences)

✍ Michael S. Lewis-Beck 📂 Library 📅 1980 🏛 Sage Publications, Inc 🌐 English

Applied Logistic Regression Analysis (Qu

📁 Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences) (v. 106)

✍ Dr. Scott Menard 📂 Library 📅 2001 🏛 Sage Publications, Inc 🌐 English

The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and ex