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Wahrscheinlichkeiten – Bücher, CDs, LPs und mehr, Seite 8

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Applied Algorithms

This book LNCS constitutes the refereed proceedings of the Second International Conference on Applied Algorithms, ICAA 2025, held in Kolkata, India, during January 8-10, 2025.The 26 full papers and 4 shor…

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Hannah Geiss, Stefan Geiss
Measure, Probability and Functional Analysis

This textbook offers a self-contained introduction to probability, covering all topics required for further study in stochastic processes and stochastic analysis, as well as some advanced topics at the in…

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Kenneth J. Berry, Janis E. Johnston, Michael A. Long, Paul Stretesky
Permutation Statistical Methods for Criminology and Criminal Justice

This book takes a unique approach to explaining permutation statistical methods for advanced undergraduate students, graduate students, faculty, researchers, and other professionals interested in the area…

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Rajan Chattamvelli
Correlation in Engineering and the Applied Sciences

This book focuses on correlation coefficients and its applications in applied science fields. The book begins by describing the historical development and various types of correlations. Rank correlation m…

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Stephen S. -T. Yau, Xiuqiong Chen, Xiaopei Jiao, Jiayi Kang
Principles of Nonlinear Filtering Theory

Algorithms and Computation in Mathematics - Band 33

This text presents a comprehensive and unified treatment of nonlinear filtering theory, with a strong emphasis on its mathematical underpinnings. It is tailored to meet the needs of a diverse readership, …

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Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet
Statistical Optimal Transport

Optimal Transport.- 2. Estimation of Wasserstein distances.- 3. Estimation of transport maps.- 4. Entropic optimal transport.- 5. Wasserstein gradient flows: theory.-6. Wasserstein gradient flows: applica…

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Raymond J. Spiteri, Kyle Klenk
Extreme-Scale Computing

Part 1 - Extreme Scientific Computing Software Management.- Chapter 1 Linux Command Line.- Chapter 2: Version Control and Repositories.- Chapter 3: Building Software.- Part 2 - Programming Patterns and Mo…

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Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes

An Introduction to Russo-Seymour-Welsh Theory.- 2. Random Tessellations - An Overview of Models.- 3. Gaussian Fields through Geometrical Properties.- 4. Complex Gaussian Zeros and Eigenvalues.- 5. Point P…

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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

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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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Sören Bartels
Numerical Mathematics 3x9

This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, …

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Methodological and Applied Statistics and Demography II

This book of peer-reviewed short papers on methodological and applied statistics and demography is the second of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024)…

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Gerhard Tutz
A Short Guide to Item Response Theory Models

Preface.- Introduction.- The Binary Rasch Model.- Extensions of the Rasch Model and Alternative Binary Models.- Ordinal Models.- Extended Ordinal Models Accounting for Response Styles.- The Thresholds Mod…

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Mike Nguyen
Experimental Design

Principles of Experimental Design.- The Gold Standard: Randomized Controlled Trials.- Sampling.

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Thomas W. Macfarland
Introduction to Data Science in Biostatistics

Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term "data science" and discusses the many professional skills and competencies…

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Lajos Horváth, Gregory Rice
Change Point Analysis for Time Series

This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change points in time series and their models. The book primarily focuses on asymptotic the…

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics. It develops the foundations and details a num…

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Thomas Mikosch, Olivier Wintenberger
Extreme Value Theory for Time Series

This book deals with extreme value theory for univariate and multivariate time series models characterized by power-law tails. These include the classical ARMA models with heavy-tailed noise and financial…

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Fuad Aleskerov, Olga Khutorskaya, Anna Stepochkina, Vyacheslav Yakuba
Bibliometric Analysis by Network Models

The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that …

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Pawe¿ Lorek, Tomasz Rolski
Lectures on Monte Carlo Theory

Chapter 1. Introduction.- Chapter 2. The theory of generators.- Chapter 3. Generating random variables.- Chapter 4. Simulation Output Analysis: Independent Replications.- Chapter 5. Variance Reduction Tec…

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