Wahrscheinlichkeitstheorie – alle Bücher, Seite 4

Alexander Iksanov, Alexander Marynych, Andrey Pilipenko, Ihor Samoilenko
Locally Perturbed Random Walks

Frontiers in Mathematics

This monograph provides a comprehensive overview of locally perturbed random walks, tools used for their analysis, and current research on their applications. The authors present the material in a self-co…

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Yannik Venohr
Deep Learning in Personalized Music Emotion Recognition

BestMasters

Music has a unique power to evoke strong emotions in us-bringing us to tears, lifting us into ecstasy or triggering vivid memories. Often described as a universal language, it conveys feelings that transc…

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Sam Efromovich
Survival Analysis

Synthesis Lectures on Mathematics & Statistics

This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status …

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Narayanaswamy Balakrishnan, Tomasz Rychlik
Sharp Inequalities for Ordered Random Variables in Statistics and Reliability

Frontiers in Probability and the Statistical Sciences

The book discusses various inequalities and sharp bounds for the usual order statistics as well as some functions of them. In particular, deterministic bounds, bounds for the case of IID samples from gene…

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Jeffrey R. Wilson, Kent A. Lorenz, Lori P. Selby
Modeling Binary Correlated Responses

ICSA Book Series in Statistics

This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, acce…

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Linda Herkenhoff, John Fogli
Applied Statistics for Business and Management using Microsoft Excel

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to sol…

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

Lecture Notes in Mathematics - Band 2364

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning. It is primarily tailored for students and researcher…

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

Lecture Notes in Mathematics - Band 2365

This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes. Based on lectures given at the Stochastic Geometry Days hel…

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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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Statistical Modelling for Evidence-Based Public Health

Emerging Topics in Statistics and Biostatistics

This book presents a selection of statistical techniques and methods applied to analyze data arising from HIV/AIDS epidemiology, as well as child and maternal health. Evidence-based decision-making in pub…

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Michael Griebel, Peter Oswald
Hilbert Space Splittings and Iterative Methods

Springer Series in Computational Mathematics - Band 62

This book is about the theory of so-called Schwarz methods for solving variational problems in a Hilbert space V arising from linear equations and their associated quadratic minimization problems. Schwarz…

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Mike Nguyen
Experimental Design

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

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Raymond J. Spiteri, Kyle Klenk
Extreme-Scale Computing

CMS/CAIMS Books in Mathematics - Band 15

Scientific computing is essential for tackling complex problems across many domains---but how can scientists develop high-performance and high-quality software that scales efficiently? This book serves as…

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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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Sören Bartels
Numerical Mathematics 3x9

UNITEXT - Band 160

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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Computing Technologies and Applied Mathematics

Springer Proceedings in Mathematics & Statistics - Band 500

This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State Universi…

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Ronald W. Shonkwiler, Franklin Mendivil
Explorations in Monte Carlo Methods

Undergraduate Texts in Mathematics

Monte Carlo Methods are among the most used, and useful, computational tools available today. They provide efficient and practical algorithms to solve a wide range of scientific and engineering problems i…

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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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