Wahrscheinlichkeiten, angewandte Mathematik

Fach
eBook, Probability and Statistical Inference, John Wiley & Sons
eBook, Polyominoes : Puzzles, Patterns, Problems, and Packings - Revised and Expanded Second Edition, Princeton University Press
eBook, Entscheidungs- und Spieltheorie. : Eine anwendungsbezogene Einführung., Verlag Wissenschaft & Praxis
eBook, Applied Regression Modeling, John Wiley & Sons
eBook, The Big R-Book : From Data Science to Learning Machines and Big Data, John Wiley & Sons
eBook, Numerical Simulation, An Art of Prediction, Volume 2 : Examples, ISTE
eBook, Statistical Topics and Stochastic Models for Dependent Data with Applications, ISTE
eBook, Sharing Economy and Big Data Analytics, ISTE
eBook, Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes, ISTE
eBook, Initiation à l'optimisation : Métaheuristiques : Problèmes à variables continues, Édition Marketing Ellipses
eBook, End-to-end Data Analytics for Product Development : A Practical Guide for Fast Consumer Goods Companies, Chemical Industry and Processing Tools Manufacturers, Wiley
eBook, Statistics and the Evaluation of Evidence for Forensic Scientists, John Wiley & Sons
eBook, Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP, John Wiley & Sons
eBook, End-to-end Data Analytics for Product Development : A Practical Guide for Fast Consumer Goods Companies, Chemical Industry and Processing Tools Manufacturers, John Wiley & Sons
eBook, Principles of Managerial Statistics and Data Science, John Wiley & Sons
eBook, Evidence-Based Statistics : An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice, Wiley
eBook, Random Motions in Markov and Semi-Markov Random Environments 1 : Homogeneous Random Motions and their Applications, ISTE
eBook, Principles of Managerial Statistics and Data Science, John Wiley & Sons
eBook, Probability and Statistical Inference, John Wiley & Sons
eBook, Statistical Topics and Stochastic Models for Dependent Data with Applications, ISTE
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