Subset Selection in Regression

Delve into the intricate world of statistical modeling with "Subset Selection in Regression," authored by esteemed professionals and published by Taylor & Francis Inc in 2002. This comprehensive second edition spans 256 pages and provides valuable insights into techniques for fitting linear models and selecting the best models while addressing biases in model selection.

This book uniquely incorporates a chapter dedicated to Bayesian methods, enhancing your understanding of modern statistical approaches. An illustrative example from the field of near infrared spectroscopy brings the concepts to life, making complex theories accessible. Moreover, it places a strong emphasis on cross-validation and innovative bootstrapping techniques, essential tools for any statistician or data analyst.

If you seek to deepen your knowledge in regression analysis and model selection, "Subset Selection in Regression" is a must-have resource that combines theory with practical applications.