Probability-generatedNorms – Bücher, CDs, LPs und mehr, Seite 4

Allen B. Downey
Probably Overthinking It

An essential guide to the ways data can improve decision making.Statistics are everywhere: in news reports, at the doctor's office, and in every sort of forecast, from the stock market to the weather. Blo…

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Dani Gamerman, Hedibert F Lopes, Flávio Bambirra Gonçalves
Markov Chain Monte Carlo

Marking a pivotal moment in the evolution of Bayesian inference, this third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fi…

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Dani Gamerman, Hedibert F Lopes, Flávio Bambirra Gonçalves
Markov Chain Monte Carlo

Marking a pivotal moment in the evolution of Bayesian inference, this third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fi…

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Christopher Hay-Jahans
An R Companion to Linear Statistical Models

Taking advantage of both user-developed code and specialized functions, this second edition of An R Companion to Linear Statistical Models again targets two primary audiences: Those who are familiar with …

lieferbar ab 29.9.2026.

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Richard J Samworth, Rajen D Shah
Modern Statistical Methods and Theory

Based on courses taught at the University of Cambridge, this text presents core contemporary statistical methods and theory in an accessible, self-contained and rigorous fashion, with a focus on finite-sa…

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Brandon LeBeau
Simulation and Power Analysis Using R

Simulation-based methods are increasingly central to modern applied research, particularly as study designs and statistical models grow more complex. Traditional analytic tools for power analysis and stud…

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Christopher Hay-Jahans
An R Companion to Linear Statistical Models

Taking advantage of both user-developed code and specialized functions, this second edition of An R Companion to Linear Statistical Models again targets two primary audiences: Those who are familiar with …

lieferbar ab 29.9.2026.

Buch

Philippe Picard
Abel-Gontcharoff Pseudopolynomials and Stochastic Applications

This book proposes a new mathematical methodology for addressing first passage problems, particularly in various classical stochastic models of applied probability. This approach is based on the so-called…

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Yudi Pawitan
In All Likelihood

This new, updated second edition of In All Likelihood explores the central role of likelihood in a wide spectrum of statistical problems, ranging from simple comparisons-such as evaluating accident rates …

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Nathalie Peyrard
A Comprehensive Guide to HSMM

Hidden Semi-Markov Models (HSMMs) have been extensively used for diverse applications where the objective is to analyze time series whose dynamics can be explained by a hidden process.A Comprehensive Guid…

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Steffen L Lauritzen
Graphical Models

The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of n…

lieferbar ab 6.2.2027.

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Mounir Zili
Generalized Fractional Brownian Motion

This comprehensive book establishes the Zili generalized fractional Brownian motion (ZgfBm) as a powerful new foundation in the mathematical theory of stochastic processes.Generalized Fractional Brownian …

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Stephen J Ruberg
Does This Treatment Cause That Outcome?

This book is an engaging and insightful exploration of cause-and-effect relationships in clinical research. It begins with the foundational principles of causal inference, traces the historical evolution …

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Piet Van Mieghem
The Mittag-Leffler and Gamma Function

The Mittag-Leffler function is a basic function in fractional calculus and is an entire function in the complex plane. Entire functions are generalization of polynomials to infinite degree, do not have si…

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Rendao Ye, Wenyan Zhu, Yue Qi
Skew-Normal Model Theories and Their Applications

The book focuses on several skew-normal mixed effects models, and systematically explores statistical inference theories, methods, and applications of parameters of interest. This book is of academic valu…

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Joe Suzuki
Estimation of Mutual Information

This book presents the mutual information (MI) estimation methods recently proposed by the author and published in a number of major journals. It includes two types of applications: learning a forest stru…

lieferbar ab 10.9.2027.

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Arthur A Giordano
Monte Carlo Integration with MATLAB and Simulink

Presents detailed guidance on Monte Carlo integration methods for complex applicationsMonte Carlo integration has become an indispensable computational tool across science, engineering, mathematics, and e…

lieferbar in mind. 4 Wochen

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Zhentong Gao, Jiajin Xu
Intelligent Fatigue Statistics

This book introduces the principles and theories of fatigue statistics and presents the Zhentong Gao method along with its practical applications.Fatigue in metal components is a complex phenomenon and an…

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Multi-objective Optimization Techniques

The book establishes how to design, develop, and test different hybrids of multi-objective optimization algorithms. It presents several application areas of multi-objective optimization algorithms.Present…

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Facets of Contemporary Analysis, Geometry and Non-Euclidean Statistics

This proceedings volume presents a collection of fifteen peer-reviewed and expanded articles based on expert talks delivered at two workshops held in September 2023: the RIMS Symposium on Analysis, Geomet…

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