Thema Wahrscheinlichkeitsrechnung und Statistik – alle Bücher, Seite 2

Guido Boffetta, Angelo Vulpiani
Probability in Physics

UNITEXT for Physics

This textbook aims to bridge a longstanding gap by presenting a rigorous yet physics-centered approach to probability theory and its applications. Despite its foundational role across nearly all areas of …

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Robert F. Bordley
Managing Project Complexity and Risk with Systems Engineering

This book introduces the systems approach as a powerful framework for developing practical and implementable solutions to complex problems. Drawing on the extensive professional and teaching experience of…

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Mauro Borgo, Alessandro Soranzo, Massimo Grassi, Luca Battaglini
MATLAB für Psycholog:innen

Dieses Lehrbuch bietet einen umfassenden und detaillierten Überblick über MATLAB sowie spezifische Werkzeuge zur Erstellung von Experimenten und zur Analyse von Daten in der Psychologie. Neben einem erwei…

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Günther Bourier
Beschreibende Statistik

Dieses einführende Lehrbuch zeigt fundiert den gesamten Ablauf einer statistischen Untersuchung auf, ausgehend von der Datenerhebung über die Aufbereitung und Analyse der Daten bis hin zur Interpretation …

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Stefan Bracke
Technische Zuverlässigkeit

Dieses Lehrbuch vermittelt Methoden der Datenanalytik zur Abbildung der Technischen Zuverlässigkeit und Risikoprognose unter Zuhilfenahme der Statistik - insbesondere der Probabilistik, Inferenzstatistik,…

lieferbar ab 8.6.2026.

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Steven L. Brunton, J. Nathan Kutz
Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

lieferbar ab 31.5.2026.

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

lieferbar ab 31.5.2026.

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Dany Cajas
Advanced Portfolio Optimization

This book is an innovative and comprehensive guide that provides readers with the knowledge about the latest trends, models and algorithms used to build investment portfolios and the practical skills nece…

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Jeff Calder, Peter J. Olver
Linear Algebra, Data Science, and Machine Learning

Springer Undergraduate Texts in Mathematics and Technology

This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level. The book is self-contained and req…

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Ulug Capar
A Guide to Generalized Functions

The aim of the present work is to give a unifying treatment of the four faces of the theory of generalized functions -- linear, nonlinear, random and infinite dimensional distributions. The book deals wit…

lieferbar ab 10.5.2026.

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Nassir Cassamo, Jan-Willem van Wingerden
Data-driven Modelling of Wind Farm Flow Control Strategies

This book presents data-driven algorithms used in the context of wind farm modelling and exploits their relation with concepts from non-linear dynamical system theory. The algortihms include Input Output …

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Potter C. Chang
Data Analysis of Medical Studies

This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis. It uses articles of the New England Journal of Medici…

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Arthur Charpentier
Insurance, Biases, Discrimination and Fairness

This book offers an introduction to the technical foundations of discrimination and equity issues in insurance models, catering to undergraduates, postgraduates, and practitioners. It is a self-contained …

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Colin Chen
Practical Credit Risk and Capital Modeling, and Validation

Management for Professionals

This book provides professionals and practitioners with a comprehensive guide on credit risk modeling, capital modeling, and validation for Current Expected Credit Loss (CECL), International Financial Rep…

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Noé Cuneo, Vojkan Jak¿i¿, Claude-Alain Pillet, Armen Shirikyan
What is a Fluctuation Theorem?

SpringerBriefs in Mathematical Physics - Band 54

This book provides a modern review of Fluctuation Relations and Fluctuation Theorems in nonequilibrium statistical mechanics. It focuses on the pioneering perspectives of Gallavotti and Cohen, according t…

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Robert C. Dalang, Marta Sanz-Solé
Stochastic Partial Differential Equations, Space-Time White Noise and Random Fields

Springer Monographs in Mathematics

This open access book provides a comprehensive introduction to the theory of stochastic partial differential equations (SPDEs). The focus is on SPDEs driven by Gaussian space-time white noise. The book co…

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Daniel Dan, Thomas Reutterer
Text Analytics in Marketing

Classroom Companion: Business

This book offers a comprehensive introduction to text mining and text analytics tailored for marketers. It presents key techniques for analyzing, compressing, classifying, and visualizing textual data and…

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Jan Dangerfield, Heather Davis, John Farndon, Jonny Griffiths
Big Ideas. Das Mathematik-Buch

DK Big Ideas

Faszination Mathematik auf den Punkt gebrachtDas 1x1 der Mathematik! Dieses innovative Nachschlagewerk führt mit informativen Diagrammen & ansprechenden Grafiken leicht verständlich in die Geschichte …

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Tilman M. Davies
The Book of R

This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis.The Book of R is a comprehensive, beginner-friendly guide to R, the …

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