Unser Katalog

Texts and Monographs in Computer Science
Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data

Introduction to Data Mining

Learn Data Science Using SAS Studio : A Quick-Start Guide

The Phantom Pattern Problem : The Mirage of Big Data

Data Science from Scratch : First Principles with Python

Data Science Using Python and R

Experimental Methods for Science and Engineering Students : An Introduction to the Analysis and Presentation of Data

Forecasting : An Essential Introduction

Robust Nonlinear Regression : With Applications using R

The 9 Pitfalls of Data Science

Applied Statistical Modeling and Data Analytics : A Practical Guide for the Petroleum Geosciences

essentials
Einfache lineare Regression : Die Grundlage für komplexe Regressionsmodelle verstehen

Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Handbook of Quantile Regression

Woodhead Publishing Series in Food Science, Technology and Nutrition
Individual Differences in Sensory and Consumer Science : Experimentation, Analysis and Interpretation

Introduction to Multivariate Calibration : A Practical Approach

Kernel Smoothing : Principles, Methods and Applications

Contributions to Statistics
Trends and Perspectives in Linear Statistical Inference : Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey

Wiley Series in Probability and Statistics
Advanced Analysis of Variance

Undergraduate Lecture Notes in Physics
Analysis and Presentation of Experimental Results : With Examples, Problems and Programs

Analysis for Time-to-Event Data under Censoring and Truncation