Sökt på: Böcker av Sadanori Konishi
totalt 4 träffar
Introduction to Multivariate Analysis
This text shows how to use multivariate analysis to extract useful information from multivariate data and understand the structure of random phenomena. Along with the basic …
Information Criteria and Statistical Modeling
The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and …
Information Criteria and Statistical Modeling
The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and …
Introduction to Multivariate Analysis
Select the Optimal Model for Interpreting Multivariate DataIntroduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for …