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    2. Wahrscheinlichkeitstheorie

    3. Wahrscheinlichkeitstheorie – alle Bücher und CDs, Seite 9

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    Daniel Zelterman: Applied Multivariate Statistics with R, Buch

    Daniel Zelterman
    Applied Multivariate Statistics with R

    Statistics for Biology and Health

    Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open sou…

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    Pavle Mladenovi¿: Extreme Values In Random Sequences, Buch

    Pavle Mladenovi¿
    Extreme Values In Random Sequences

    Springer Series in Operations Research and Financial Engineering

    The main subject is the probabilistic extreme value theory. The purpose is to present recent results related to limiting distributions of maxima in incomplete samples from stationary sequences, and result…

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    : Models for Data Analysis, Buch

    Models for Data Analysis

    Springer Proceedings in Mathematics & Statistics -Band 402

    The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants. There were plenary sessions as well as specialized and solicited and contrib…

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    Yves Le Jan: Random Walks and Physical Fields, Buch

    Yves Le Jan
    Random Walks and Physical Fields

    Probability Theory and Stochastic Modelling -Band 106

    This book presents fundamental relations between random walks on graphs and field theories of mathematical physics. Such relations have been explored for several decades and remain a rapidly developing re…

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    : Statistics in Precision Health, Buch

    Statistics in Precision Health

    ICSA Book Series in Statistics

    This book discusses statistical methods and their innovative applications in precision health. It serves as a valuable resource to foster the development of this growing field within the context of the bi…

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    : Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators, Buch

    Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators

    Lecture Notes in Computational Science and Engineering -Band 151

    This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, …

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    Arvid Naess: Applied Extreme Value Statistics, Buch

    Arvid Naess
    Applied Extreme Value Statistics

    This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights in…

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    Javad Tavakoli: Numerical Methods for Solving Discrete Event Systems, Buch

    Javad Tavakoli, Winfried Grassmann
    Numerical Methods for Solving Discrete Event Systems

    CMS/CAIMS Books in Mathematics -Band 5

    This graduate textbook provides an alternative to discrete event simulation. It describes how to formulate discrete event systems, how to convert them into Markov chains, and how to calculate their transi…

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    Andreas E. Kyprianou: Stochastic Neutron Transport, Buch

    Andreas E. Kyprianou, Emma Horton
    Stochastic Neutron Transport

    Probability and Its Applications

    This monograph highlights the connection between the theory of neutron transport and the theory of non-local branching processes. By detailing this frequently overlooked relationship, the authors provide …

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    : Mathematics of Public Health, Buch

    Mathematics of Public Health

    Fields Institute Communications -Band 88

    This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in …

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    Francisco-Javier Sayas: Integral Equation Methods for Evolutionary PDE, Buch

    Francisco-Javier Sayas, Lehel Banjai
    Integral Equation Methods for Evolutionary PDE

    Springer Series in Computational Mathematics -Band 59

    This book provides a comprehensive analysis of time domain boundary integral equations and their discretisation by convolution quadrature and the boundary element method. Properties of convolution quadra…

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    : Bayesian Statistics, New Generations New Approaches, Buch

    Bayesian Statistics, New Generations New Approaches

    Springer Proceedings in Mathematics & Statistics -Band 435

    This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on June 22 23, titled "Bayesian Statistics, New Generations New Approaches". This colle…

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    Liam Graham: Molecular Storms, Buch

    Liam Graham
    Molecular Storms

    Following in the footsteps of Stephen Hawking's A brief history of time and Simon Singh's Fermat s Last Theorem this exceptionally accessible book will you leave marveling at the wonders of the world …

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    Siri Chongchitnan: Exploring University Mathematics with Python, Buch

    Siri Chongchitnan
    Exploring University Mathematics with Python

    This book provides a unique tour of university mathematics with the help of Python. Written in the spirit of mathematical exploration and investigation, the book enables students to utilise Python to enri…

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    Mayer Alvo: Statistical Inference and Machine Learning for Big Data, Buch

    Mayer Alvo
    Statistical Inference and Machine Learning for Big Data

    Springer Series in the Data Sciences

    This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these im…

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    Ron S. Kenett: Modern Statistics, Buch

    Ron S. Kenett, Peter Gedeck, Shelemyahu Zacks
    Modern Statistics

    Statistics for Industry, Technology, and Engineering

    This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in …

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    Karsten Tabelow: Magnetic Resonance Brain Imaging, Buch

    Karsten Tabelow, Jörg Polzehl
    Magnetic Resonance Brain Imaging

    Use R!

    This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain. For the data processing pipelines we rely on R, the software environment for statistical computing a…

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    Silvia Bozza: Bayes Factors for Forensic Decision Analyses with R, Buch

    Silvia Bozza, Alex Biedermann, Franco Taroni
    Bayes Factors for Forensic Decision Analyses with R

    Springer Texts in Statistics

    Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, thi…

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    Arak M. Mathai: Multivariate Statistical Analysis in the Real and Complex Domains, Buch

    Arak M. Mathai, Hans J. Haubold, Serge B. Provost
    Multivariate Statistical Analysis in the Real and Complex Domains

    This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible …

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    Matthew R. Schofield: Estimating Presence and Abundance of Closed Populations, Buch

    Matthew R. Schofield, George A. F. Seber
    Estimating Presence and Abundance of Closed Populations

    Statistics for Biology and Health

    This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations. With the effect of climate change, and human territory invasion, we have see…

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    EUR 98,56*
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