Advances in Data Analysis Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks

Hybrid Systems Biology 6th International Workshop, HSB 2019, Prague, Czech Republic, April 6-7, 2019, Revised Selected Papers

Regression Models, Methods and Applications

Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R Order-Restricted Analysis of Microarray Data

Probability for Statistics and Machine Learning Fundamentals and Advanced Topics

Frontiers in Computational and Systems Biology

Handbook on Analyzing Human Genetic Data Computational Approaches and Software

Cooperation in Classification and Data Analysis Proceedings of Two German-Japanese Workshops

The Elements of Statistical Learning Data Mining, Inference, and Prediction

Statistical Analysis of Network Data Methods and Models

Principles and Theory for Data Mining and Machine Learning

An Intermediate Course in Probability

Statistical Analysis of Designed Experiments, Third Edition

Introductory Statistics with R

Handbook of Data Visualization

Interactive and Dynamic Graphics for Data Analysis With R and Ggobi

Information Criteria and Statistical Modeling

Semi-Markov Chains and Hidden Semi-Markov Models toward Applications Their use in Reliability and DNA Analysis

Wavelet Methods in Statistics with R

Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning

Multiple Testing Procedures with Applications to Genomics

Programmieren mit R

Finite Mixture and Markov Switching Models

The Basics of S-PLUS

Programmieren mit R