Sage Publications Ltd
Linear Regression: An Introduction to Statistical Models
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- Peter Martin
- Sage Publications Ltd
- Paperback
- 9781526424174
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- -
- Social Science > Statistics
- English
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Book Description
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
- 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
Linear Regression: An Introduction to Statistical Models
Author Bio
Peter Martin is the author of numerous books, including the acclaimed biographies Samuel Johnson and A Life of James Boswell. He has taught English literature in the United States and England and divides his time between West Sussex, England, and Spain.
Source: Princeton University Press
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