Thema Wahrscheinlichkeitsrechnung und Statistik – alle Bücher, Seite 2

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 for Psychologists

The second edition of this textbook provides a comprehensive and detailed overview of MATLAB and specific tools for creating experiments and analysing data in psychology. In addition to an enhanced focus …

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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 7.8.2026.

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Samir Brahim Belhaouari, Halima Bensmail, Farshid Mehrdoust
Discrete Mathematics, Probability Theory and Stochastic Processes

Modeling and Optimization in Science and Technologies - Band 20

This book provides a comprehensive overview of discrete mathematics, probability theory, and stochastic processes, covering a wide range of topics in each area. It is designed to be a self-contained resou…

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Franz Breuer, Ursula Offenberger, Tamara Schwertel
Reflexive Grounded Theory

Wir geben eine gründliche Anleitung für die Arbeit unter diesem qualitativ-sozialwissenschaftlichen Forschungsstil -- eine Fortentwicklung der von Anselm Strauss und Barney Glaser begründeten Methodologie…

lieferbar ab 17.9.2026.

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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 in mind. 4 Wochen

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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 in mind. 4 Wochen

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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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Ulu¿ Çapar
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…

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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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Federica Cavicchio
Emotion Detection in Natural Language Processing

Synthesis Lectures on Human Language Technologies

This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (N…

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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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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

Synthesis Lectures on Mathematics & Statistics

This Second Edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. Expanding upon the original book, the author covers …

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Chi-Bin Cheng, Huan-Jyh Shyur
Flight Safety Management

This book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights b…

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Naohito Chino
Structure and Dynamics of Asymmetric Interactions

This book integrates the fundamentals of asymmetric multidimensional scaling, spectral graph theory, graph embedding theory, and various dynamical systems theories, that deal with the static and dynamic a…

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Geon Ho Choe
Quantitative Methods for Finance with Simulations II

Springer Texts in Business and Economics

This self-contained book is the second of a two-volume set providing a thorough introduction to quantitative finance, covering both theoretical and computational methods.This volume covers numerical metho…

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