Description: Introduction to Regression Models : Linear and Beyond, Paperback by Martin, Peter, ISBN 1526424177, ISBN-13 9781526424174, Like New Used, Free shipping in the US Part of The SAGE Quantitative Research Kit, this text helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. Peter Martin covers both the theory and application of statistical models, and illustrates them with illuminating graphs, discussing:
· Linear regression, including dummy variablesand predictor transformations for curvilinear relationships
· Binary, ordinal and multinomial logistic regression models for categorical data
· Models for count data, including Poisson, negative binomial, and zero-inflated regression
· Checking model assumptions and the dangers of overfitting
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Book Title: Introduction to Regression Models : Linear and Beyond
Number of Pages: 200 Pages
Publication Name: Linear Regression : an Introduction to Statistical Models
Language: English
Publisher: SAGE Publications, The Limited
Publication Year: 2022
Subject: General
Item Weight: 11.7 Oz
Type: Not Available
Subject Area: Mathematics, Référence
Author: Peter Martin
Item Length: 9 in
Item Width: 6 in
Series: The Sage Quantitative Research Kit Ser.
Format: Book, Other
