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Kenneth Lange
Applied Probability

Applied Probabilitypresents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. Chapter 1 review…

lieferbar innerhalb 2-3 Wochen

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Peter Diggle, Emanuele Giorgi
Time Series

A time series is a sequence of measurements on a process whose future behaviour cannot be predicted exactly from past and current observations. This book focuses on applications in the biomedical and heal…

lieferbar innerhalb 1-2 Wochen

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

lieferbar innerhalb 2-3 Wochen

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Steve Selvin
The Joy of Statistics

This book consists of 42 anecdotes illustrating how statistical methods applied to data produce insight and solutions to the questions that the data were collected to answer. Real-life and sometimes artif…

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Tom Chivers
Everything Is Predictable

A "fascinating, witty, and perspective-shifting" (Oliver Burkeman, New York Times bestselling author) tour of Bayes's theorem and its global impact on modern life from the acclaimed science writ…

lieferbar ab 8.7.2025.

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David Spiegelhalter
The Art of Uncertainty

How dangerous is our diet? How much of sports falls into the realm of luck? When authorities categorize a given event as "highly likely"-how likely is that, really? Whether we're trying to decid…

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Vladimir Stojanovic, Jian Deng, Marko D Petkovic, Marko A Ristic
Modeling of Complex Dynamic Systems

Motion is the essence of any mechanical system. Analyzing a system's dynamical response to distinct motion parameters allows for increased understanding of its performance thresholds and can in turn provi…

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Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

Applied Machine Learning for Data Science Practitioners Vidya SubramanianA single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (M…

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Regina Baker
Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference

Explore this indispensable and comprehensive guide to time series analysis for students and practitioners in a wide variety of disciplinesApplied Time Series Analysis for the Social Sciences: Specificatio…

lieferbar ab 18.11.2025.

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Stephen R Bowley, Edzard van Santen, Simon Riley, Diane K Michelson
Applied Statistics in Biology

Understand applied statistics and its relationship to biologyBiology and its related sciences generate prodigious quantities of data through experimentation and observation. Interpreting this data and usi…

lieferbar ab 25.6.2025.

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Holy Motors

Horse

Holy Motors, das rätselhafte Quartett ehemaliger sowjetischer Cowboys aus Tallinn, Estland, veröffentlicht mit »Horse« den Nachfolger von »Slow Sundown«, dem atemberaubenden Debüt der Band aus dem Jahr 20…

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Eduardo Souza De Cursi
Uncertainty Quantification with R

This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R. This volume includes mathematical arguments at the level necessary to m…

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Anatoly Zhigljavsky, Jack Noonan
High-Dimensional Optimization

This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematics including computer experiments, optimal experimental design, and global optimizati…

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