This book covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and ...
Sufficient dimension reduction was first introduced in the early 90's as a set of graphical and diagnostic tools for regression with many predictors. Over the past two decades or s...
이 책은 빅데이터 기획부터 데이터 수집, 데이터 분석, 데이터 정제, 데이터 시각화, 데이터 해석에 이르기까지의 전 과정을 빅데이터 분석 무료 프로그램인 R 과 Python을 활용하여 쉽고 빠르게 분석할 수 있는 방법을 소개 한다. 데이터의 확장으로 인공지능을 학습시키는 방법을 대중이 가장 많이 사용하는 카카오 I 빌더라...
Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous exampl...
Permutation testing for multivariate stochastic ordering and ANOVA designs is a fundamental issue in many scientific fields such as medicine, biology, pharmaceutical studies, engin...
This book focuses on tools and techniques for building valid regression models using real-world data. A key theme throughout the book is that it only makes sense to base inferences...
R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you a...
An introduction to statistical data analysis techniques with the emphasis on research work in the laboratory. It explains standard data analytical techniques with a relatively low ...