Semiparametric regression — Scriptorium Liberum

Semiparametric Regression

✍ David Ruppert, M. P. Wand, R. J. Carroll 📂 Library 📅 2003 🏛 Cambridge University Press 🌐 English

Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals

Semiparametric Regression

📁 Semiparametric Regression

✍ David Ruppert, M. P. Wand, R. J. Carroll 📂 Library 📅 2003 🏛 Cambridge University Press 🌐 English

Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals

Semiparametric Regression

📁 Semiparametric Regression

✍ David Ruppert, M. P. Wand, R. J. Carroll 📂 Library 📅 2003 🏛 Cambridge University Press 🌐 English

David Ruppert and Ray Carroll have been a research team for over 25 years. They have published many articles and books on regression analysis. These articles are always very clearly written and are great at showing the big picture and not just the nitty gritty details of the theorems that they pro

Semiparametric Regression with R

📁 Semiparametric Regression with R

✍ Jaroslaw Harezlak, David Ruppert, Matt P. Wand 📂 Library 📅 2018 🏛 Springer New York 🌐 English

<p>This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of stat

Semiparametric regression for the applie

📁 Semiparametric regression for the applied econometrician

✍ Adonis Yatchew 📂 Library 📅 2003 🏛 Cambridge University Press 🌐 English

Adonis Yatchew provides simple and flexible (nonparametric) techniques for analyzing regression data. He includes a series of empirical examples with the estimation of Engel curves and equivalence scales, scale economies, household gasoline consumption, housing prices, option prices and state price

Semiparametric Regression for the Social

📁 Semiparametric Regression for the Social Sciences

✍ Luke John Keele 📂 Library 📅 2008 🌐 English

An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology via a selection of carefully explained examples and data sets. It also demonstrates the potential of these techniques using detailed empirical examples drawn from