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Statistics, Society and Environment

This volume features a collection of peer-reviewed contributions from the biannual conference organized by the Mexican Statistical Society, held in Cuernavaca, Mexico, from September 27-29, 2023. Statisti…

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Approximation and Online Algorithms

This book constitutes the refereed proceedings of the 22nd International Workshop on Approximation and Online Algorithms, WAOA 2024, held in Egham, UK, during September 5-6, 2024.The 15 full papers includ…

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Sam Efromovich
Survival Analysis

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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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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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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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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Norbert Henze
Very First Steps in Random Walks

With this book, which is based on the third edition of a book first written in German about random walks, the author succeeds in a remarkably playful manner in captivating the reader with numerous surpris…

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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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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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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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Beyoncé

Lemonade (180g) (Limited Edition) (Yellow Vinyl)

Der heißeste Kandidat für das Popalbum des Jahres Überraschung: Beyoncé meldet sich 2016 mit einem neuen Album zurück. Und obwohl es weder irgendeine Vorabsingle oder Promotionaktion und auch kaum Hinw…

Artikel am Lager

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Ekbert Hering, Martin Stohrer, Rolf Martin
Physik für Ingenieure

Dieses Lehrbuch zeichnet sich durch klare Strukturen, bewährte Didaktik und Übersichten zur Veranschaulichung komplexer Zusammenhänge aus. Zahlreiche Abbildungen aus der Technik und Berechnungsbeispiele a…

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Zden¿k Dostál, Tomá¿ Kozubek, Marie Sadowská, Vít Vondrák
Scalable Algorithms for Contact Problems

This book presents a comprehensive treatment of recently developed scalable algorithms for solving multibody contact problems of linear elasticity. The brand-new feature of these algorithms is their theor…

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Edward Gunning, Norma Bargary, Andrew J. Harrison, John Warmenhoven
Functional Data Analysis in Biomechanics

This book provides a concise discussion of fundamental functional data analysis (FDA) techniques for analysing biomechanical data, along with an up-to-date review of their applications. The core of the bo…

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Rand R. Wilcox
A Guide to Robust Statistical Methods

Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions…

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Statistical Modeling and Applications

In an era defined by the seamless integration of data and sophisticated analytical and modeling techniques, the quest for advanced statistical modeling and methodologies has never been more pertinent. Sta…

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Multiscale, Nonlinear and Adaptive Approximation II

This book presents a collection of high-quality papers in applied and numerical mathematics, as well as approximation theory, all closely related to Wolfgang Dahmen¿s scientific contributions. Compiled in…

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Anestis Antoniadis, Jairo Cugliari, Jean-Michel Poggi, Yannig Goude
Statistical Learning Tools for Electricity Load Forecasting

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context of electricity load forecasting. Drawing on their substant…

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Paola Lecca
Identifiability and Regression Analysis of Biological Systems Models

This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives. It begi…

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