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

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

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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Johannes Lederer
A First Course in Statistical Learning

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from be…

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Learning and Intelligent Optimization

This book constitutes the refereed proceedings of the 18th International Conference on Learning and Intelligent Optimization, LION 18, held in Ischia Island, Italy, in June 2024.The 31 full papers and 4 s…

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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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Digital Public Health

Part I: Introduction.- Why is it essential to address digital public health in an interdisciplinary way?.- Part II: Theoretical approaches.- Public health in the digital era---digital entry points for pop…

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Sebastian Ani¿a, Vincenzo Capasso, Simone Scacchi
Mathematical Modeling and Control in Life and Environmental Sciences

Part I: Regional Control of Spatially Structured Epidemics.- Regional Control for a Class of Spatially Structured Epidemics.- Controlling the Spread of a Vector-Borne Epidemic: The Case of Malaria.- Part …

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Matteo Mazziotta, Adriano Pareto
Statistics for Composite Indicators

This book provides a systematic and integrated approach to construct measures of complex and multidimensional concepts called composite indicators. One of the most pressing needs of scientists and policy …

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Advances in Machine Learning and Big Data Analytics I

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a referenc…

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Statistics for Innovation I

This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society's international conference on "Statistics for Innovation&…

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Alan J. King, Stein W. Wallace
Modeling with Stochastic Programming

This is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that …

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Amanda L. Golbeck
Florence Nightingale David

This book examines Florence Nightingale David's life, contributions, and relationships throughout her life, as well as her subsequent legacy. Florence Nightingale David (1909-1993) was the first woman pro…

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Yannik Venohr
Deep Learning in Personalized Music Emotion Recognition

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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Sedentary Behaviour Epidemiology

This book addresses the origins, determinants and magnitude of the global problem of sedentary behaviour, along with concise yet in-depth solutions for tackling it.As a consequence of major technological …

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Steven T. Hackman, Antonius B. Dieker
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accuratel…

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Umberto Michelucci
Statistics for Scientists

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the …

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Jolanta Misiewicz
A One-Semester Course on Probability

This concise textbook covers the full scope of an introductory course in modern probability theory, from elementary combinatorial methods to the central limit theorem, while maintaining mathematical rigor…

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Ilija Barukcic
Theoriae causalitatis principia mathematica

Dive into a treasure trove of knowledge with over 1,332 equations, 34 detailed figures, and 81 comprehensive tables. Perfect for students, researchers, and enthusiasts seeking clarity and precision. This …

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Margo Anderson, William Seltzer
Use and Misuse of the United States Census

The U.S. government conducts a population census every 10 years, adds up the counts by geographic location, and uses the resulting numbers in formulas to allocate seats in the House of Representative and …

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Daniel Sorensen
Statistical Learning in Genetics

Overview.- Part I: Fitting Likelihood and Bayesian Models.- 2. Likelihood.- 3. Computing the Likelihood.- 4. Bayesian Methods.- 5. McMC in Practice.- Part II: Prediction.- 6. Fundamentals of Prediction.- …

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