Smoothing and Regression こちらもおすすめ

Local Polynomial Modelling and Its Applications Local Polynomial Modelling and Its Applications
2018年
Generalized Additive Models Generalized Additive Models
2017年
Kernel Smoothing Kernel Smoothing
2017年
Density Estimation for Statistics and Data Analysis Density Estimation for Statistics and Data Analysis
2018年
Flexible Regression and Smoothing Flexible Regression and Smoothing
2017年
Handbook of Quantile Regression Handbook of Quantile Regression
2017年
Handbook of Regression Methods Handbook of Regression Methods
2018年
Advances on Methodological and Applied Aspects of Probability and Statistics Advances on Methodological and Applied Aspects of Probability and Statistics
2019年
Handbook of Bayesian Variable Selection Handbook of Bayesian Variable Selection
2021年
Multivariate Nonparametric Regression and Visualization Multivariate Nonparametric Regression and Visualization
2014年
Elements of Statistical Computing Elements of Statistical Computing
2017年
Bayesian Regression Modeling with INLA Bayesian Regression Modeling with INLA
2018年
Generalized Linear Models Generalized Linear Models
2019年
Large-Scale Inverse Problems and Quantification of Uncertainty Large-Scale Inverse Problems and Quantification of Uncertainty
2011年
Nonlinear Models for Repeated Measurement Data Nonlinear Models for Repeated Measurement Data
2017年