Probability and statistics

A user-friendly introduction for mathematicians to some of the principal stochastic models near the interface of probability and physics.

This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered separately.

This book is about the simulation and modeling of novel chaotic systems within the frame of fractal-fractional operators.

The aim of this book is to discuss various aspects associated with disseminating personal or business data collected in censuses or surveys or copied from administrative sources.

This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense.

This book constitutes the proceedings of the 11th International Conference on Network Games, Control and Optimization 2024, NETGCOOP 2024, held during October 9-11, 2024, in Lille, France.

"e;Beauty is the first test: there is no permanent place in the world for ugly mathematics.

A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer?

This text links the complementary processes of research design and statistical analysis in assessing causal relationships in the social sciences.

Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more.

* Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data.

Numerical Solution of Differential Equations is a 10-chapter text that provides the numerical solution and practical aspects of differential equations.

This textbook contains and explains essential mathematical formulas within an economic context.

This monograph is a comprehensive and cohesive exposition of power-law statistics.

The introduction to statistics that psychology students can't afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise.

Existing works on stochastic processes belong to a field of abstract mathematics which puts them beyond the scope of the non-specialist.

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This unique reference/text provides an understanding of nonparametric and quasi- parametric (regression) methods to analyze survivorship data in clinical studies- emphasizing the interpretation and reasoning behind these methods.

In 1946 Paul Halmos studied unbiased estimators of minimum variance, and planted the seed from which the subject matter of the present monograph sprang.

It is said that six sigma methods are vital to survive, let alone thrive, in today's competitive markets, but what are these methods and how or when do we use them?

This book introduces basic computing skills designed for industry professionals without a strong computer science background.

Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk * og replaced the observed variables in an econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social and behavioural sciences.

This book introduces a cutting-edge continuous time stochastic linear quadratic (LQ) adaptive control algorithm for fully observed linear stochastic systems with unknown parameters.

While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications.

The ultimate goal of machines is to help humans to solve problems.

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions.

This book constitutes the proceedings of the 29th International Conference on Case-Based Reasoning, ICCBR 2021, which took place in Salamanca, Spain, during September 13-16, 2021.

This book studies R.

With COVID-19 sweeping across the globe with near impunity, it is thwarting governments and health organizations efforts to contain it.

This third volume of the monograph examines potential theory.

This book provides a unified exposition of some fundamental theoretical problems in high-dimensional statistics.

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Probability is tough - even those fairly well versed in statistical analysis balk at the prospect of tackling it.

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view.

Some probability problems are so difficult that they stump the smartest mathematicians.

This book constitutes a review of recent developments in the theory and practical exploitation of the elliptical model for measured data in both classical and emerging areas of signal processing.

An introduction to general theories of stochastic processes and modern martingale theory.

This reference text introduces advanced topics in the field of reliability engineering, introduces statistical modeling techniques, and probabilistic methods for diverse applications.

Mathematical modeling is a powerful craft that requires practice.

Comprehensive, yet concise, this textbook is the go-to guide to learn why probability is so important and its applications.

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications.

A full ranking of n items is simply an ordering of all these items, of the form: first choice, second choice, *.

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

Ideal for experienced students and researchers in the social sciences who wish to refresh or extend their understanding of statistics, and to apply advanced statistical procedures using SPSS or R.

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields.

Many experiments have shown the human brain generally has very serious problems dealing with probability and chance.

This book provides structural reliability and design students with fundamental knowledge in structural reliability, as well as an overview of the latest developments in the field of reliability engineering.