Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Chapman & Hall CRC Monographs on Statistics & Applied Probability)

Nonparametric Regression and Generalized

📁 Nonparametric Regression and Generalized Linear Models: A roughness penalty approach

✍ P.J. Green, Bernard. W. Silverman 📂 Library 📅 1993 🏛 Chapman and Hall/CRC 🌐 English

In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method and shows how this technique provides a unifying approach to a wide range of smoothing problems. The method

Nonparametric Regression and Generalized

📁 Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach

✍ Peter J. Green, Bernard W. Silverman (auth.) 📂 Library 📅 1994 🏛 Springer US 🌐 English

Generalized Linear Models, Second Editio

📁 Generalized Linear Models, Second Edition (Chapman & Hall CRC Monographs on Statistics & Applied Probability)

✍ P. McCullagh, John A. Nelder 📂 Library 📅 1989 🏛 Chapman and Hall\/CRC 🌐 English

The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agr

Mixture Models (Chapman & Hall/CRC Monog

📁 Mixture Models (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

✍ Weixin Yao, Sijia Xiang 📂 Library 📅 2024 🏛 Chapman and Hall/CRC 🌐 English

Mixture models are a powerful tool for analyzing complex and heterogeneous datasets across many scientific fields, from finance to genomics. Mixture Models: Parametric, Semiparametric, and New Directions provides an up-to-date introduction to these models, their re

Nonlinear Time Series: Semiparametric an

📁 Nonlinear Time Series: Semiparametric and Nonparametric Methods (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

✍ Jiti Gao 📂 Library 📅 2007 🏛 Chapman and Hall/CRC 🌐 English

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensio

Nonlinear Time Series: Semiparametric an

📁 Nonlinear Time Series: Semiparametric and Nonparametric Methods (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

✍ Jiti Gao 📂 Library 📅 2007 🏛 Chapman and Hall/CRC 🌐 English

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensio