Unser Katalog

SpringerBriefs in Physics
Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask

Experimental Design and Process Optimization

Atlantis Studies in Probability and Statistics
Exponentiated Distributions

Contributions to Statistics
Functional Statistics and Applications : Selected Papers from MICPS-2013

Fundamentals of Statistical Experimental Design and Analysis

Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Handbook of Design and Analysis of Experiments

Mathematical Statistics with Applications in R

Use R!
Meta-Analysis with R

Frontiers in Probability and the Statistical Sciences
Model-Free Prediction and Regression : A Transformation-Based Approach to Inference

ICSA Book Series in Statistics
Modeling Binary Correlated Responses using SAS, SPSS and R

Basiswissen Psychologie
Multivariate Datenanalyse : Eine kompakte Einführung

Wiley Series in Probability and Statistics
Multivariate Density Estimation : Theory, Practice, and Visualization

Partitional Clustering Algorithms

Springer Series in Statistics
Regression Modeling Strategies : With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

Scientific Data Analysis

Chapman & Hall/CRC : The R Series
Stated Preference Methods Using R

Springer Texts in Statistics
Statistical Analysis and Data Display : An Intermediate Course with Examples in R

Springer Series in Statistics
The Linear Model and Hypothesis : A General Unifying Theory

Wiley Series in Probability and Statistics
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

Vector Generalized Linear and Additive Models : With an Implementation in R