Unser Katalog

Mathematical Methods in Data Science : Bridging Theory and Applications with Python

Multivariate Statistical Methods : A Primer

Probability and Statistics for Data Science

The Effect : An Introduction to Research Design and Causality

Active Statistics : Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference

Springer Texts in Statistics
An Introduction to Statistical Learning : with applications in Python

How To Cheat With Statistics - And Get Away With It : From Data Snooping Over Kitchen Sink Regression To "Creative Reporting"

Statistical Modeling With R : A dual frequentist and Bayesian approach for life scientists

Statistical Thinking : Analyzing Data in an Uncertain World

Springer Texts in Statistics
An Introduction to Statistical Learning : with Applications in R

Applied Medical Statistics

Institute of Mathematical Statistics Textbooks
Principles of Statistical Analysis Principles of Statistical Analysis : Learning from Randomized Experiments

Statistics for Chemical and Process Engineers : A Modern Approach

The Effect : An Introduction to Research Design and Causality

Bernoulli's Fallacy : Statistical Illogic and the Crisis of Modern Science

Introduction to Probability and Statistics for Engineers and Scientists

Bayesian Statistics for Experimental Scientists : A General Introduction Using Distribution-Free Methods

Medical Statistics from Scratch : An Introduction for Health Professionals

Statistik für Medizinerinnen und Mediziner

Medizinische Statistik fur Dummies