Thema Wahrscheinlichkeitsrechnung und Statistik – alle Bücher, Seite 9

Gero Szepannek
Grundprinzipien des maschinellen Lernens

Was steckt hinter den Algorithmen der künstlichen Intelligenz?Künstliche Intelligenz und maschinelles Lernen halten zunehmend Einzug, in betrieblichen Anwendungen wie in der Forschung. Nicht alle Anwender…

lieferbar ab 1.7.2026.

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Ata Allah Taleizadeh
Stochastic Imperfect Inventory Systems

In today's manufacturing environment, managing inventories is one of the basic concerns of enterprises dealing with materials according to their activities. This book introduces and examines important pro…

lieferbar innerhalb 2-3 Wochen

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Christian Tarsney
Small Probabilities and High Stakes

Elements in Decision Theory and Philosophy

What price should you be willing to pay for a tiny probability of an astronomically large gain, or to avoid a tiny probability of an astronomically large loss? Should you be willing to pay any finite pric…

lieferbar ab 30.6.2026.

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Christian Tarsney
Small Probabilities and High Stakes

Elements in Decision Theory and Philosophy

What price should you be willing to pay for a tiny probability of an astronomically large gain, or to avoid a tiny probability of an astronomically large loss? Should you be willing to pay any finite pric…

lieferbar ab 30.6.2026.

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Ramesh S. V. Teegavarapu
Imputation Methods for Missing Hydrometeorological Data Estimation

Missing data is a ubiquitous problem that plagues many hydrometeorological datasets. Objective and robust spatial and temporal imputation methods are needed to estimate missing data and create error-free,…

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Peter Tittmann
Einführung in die Kombinatorik

Spektrum Hochschultaschenbücher

Dieses Lehrbuch vermittelt die Grundlagen und Konzepte der modernen Kombinatorik auf anschauliche Weise. Die verständliche Darstellung richtet sich an Studierende der Mathematik, Naturwissenschaften, Info…

lieferbar ab 29.8.2026.

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Yusuf Ihsan Tokel, Jun Zhuang
Optimizing Security Patrolling Strategies

Synthesis Lectures on Operations Research and Applications

This book presents a comprehensive examination of crime patrolling problems across various domains, including robotics, security, and law enforcement, with a focus on the mathematical models used to optim…

sofort lieferbar

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Jakub M. Tomczak
Deep Generative Modeling

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models…

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Jakub Tomek
Basic Statistics for Life Scientists

Concise and approachable yet rigorous discussion of the appropriate use of statistical techniques in life science researchBasic Statistics for Life Scientists is an approachable, concise handbook of essen…

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Eberhard Triesch
Diskrete Mathematik

Dieses Lehrbuch führt auf prägnante und nachvollziehbare Art in die Abzähl- und Existenzprobleme der diskreten Mathematik ein. Es wendet sich an Studierende der Mathematik, der Informatik und benachbarter…

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Gerhard Tutz
A Short Guide to Item Response Theory Models

Statistics for Social and Behavioral Sciences

This book presents foundational concepts, essential principles, and practical applications of Item Response Theory (IRT). It provides a structured survey of diverse models that have been put forth, emphas…

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Wilfredo Urbina-Romero, Ricardo Rios
An Introduction to the Modern Martingale Theory and Applications

Texts in Applied Mathematics - Band 81

Martingale theory is a cornerstone of modern probability, offering a natural extension of the study of sums of independent random variables. Although its roots can be traced back to the work of Paul Lévy …

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Luzia Valentini
Humanstudien in der Diätetik und Ernährungsmedizin

Für eine stärkere Verankerung der Ernährungsberatung und -therapie im Gesundheitssystem ist der Nachweis des Nutzens durch Ernährungsfachkräfte unerlässlich. Hierbei gelten die Prinzipien der evidenzbasie…

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Jordi Vallverdú
Prompting Causal Events

SpringerBriefs in Intelligent Systems

Prompting marks a paradigmatic shift in how we engage with artificial intelligence---transforming static interfaces into dynamic conversations, reshaping the relationship between user intent, system behav…

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Eva B. Vedel Jensen, Markus Kiderlen
Rotational Integral Geometry and its Applications

Springer Monographs in Mathematics

This self-contained book offers an extensive state-of-the-art exposition of rotational integral geometry, a field that has reached significant maturity over the past four decades. Through a unified descri…

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Isabella Verdinelli, Larry Wasserman
All of Regression

This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going well beyond the topics covered in most introductory books. With concision and clari…

lieferbar ab 4.6.2026.

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Roman Vershynin
High-Dimensional Probability

'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and friendly introduction to key probabilistic methods for mathematical data scientists. Streamlined and…

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Chisheng Wang, Xiang-Sheng Wang
Machine Learning in Data Processing

Forum for Interdisciplinary Mathematics

Machine learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind machine learning is esse…

lieferbar ab 27.5.2026.

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Gernot Wassmer, Werner Brannath
Group Sequential and Confirmatory Adaptive Designs in Clinical Trials

Springer Series in Pharmaceutical Statistics

This book provides an up-to-date review of the general principles and techniques of confirmatory adaptive designs, a generalization of group sequential designs. With these designs, interim analyses are pe…

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Joyce Weiner
Why AI/Data Science Projects Fail

Synthesis Lectures on Computation and Analytics

This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls. Current statistics show that 87% of AI and Big Dat…

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