Probability and statistics

This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media.

This book constitutes the refereed proceedings of the 23rd International Conference on Information Technologies and Mathematical Modelling.

A solid, rigorous, yet comprehensible analysis of process capability indices, this work bridges the gap between theoretical statisticians and quality control practitioners, showing how an understanding of these indices can lead to process improvement.

We have written this book as a guide to the design and analysis of field studies of resource selection, concentrating primarily on statistical aspects of the comparison of the use and availability of resources of different types.

Master the fundamentals of correspondence analysis with this illuminating resource An Introduction to Correspondence Analysis assists researchers in improving their familiarity with the concepts, terminology, and application of several variants of correspondence analysis.

Courses on linear algebra and numerical analysis need each other.

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Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics.

This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundation for problem solving Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago.

This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general.

This book constitutes the refereed proceedings of the 8th International Conference on Belief Functions, BELIEF 2024, held in Belfast, UK, in September 2-4, 2024.

At last a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields.

A practical approach to estimating and tracking dynamic systems in real-worl applications Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation.

Univariate and multivariate multilevel models are used to understand how to design studies and analyze dataa in this comprehensive text distinguished by its variety of applications from the educational, behavioral, and social sciences.

This book closes the gap between what people think Excel can do and what they can achieve in the tool.

For the first two editions of the book Probability (GTM 95), each chapter included a comprehensive and diverse set of relevant exercises.

This book offers a detailed analysis of the key sectors in the Italian economy, with the focus especially on areas in which the economy excels, such as the automatic packaging machinery sector, pharmaceutical production, the food and wine industry, and tourism.

IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel regression method entitled Kernel Ridge Regression (KRR).

Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models.

Inhomogeneous Random Evolutions and Their Applications explains how to model various dynamical systems in finance and insurance with non-homogeneous in time characteristics.

This book constitutes revised papers from the International Workshops held at the 22nd International Conference on Business Process Management, BPM 2024, in Krakow, Poland, during September 2024.

This volume comprises the author's account of the development of novel results in random walk theory and its applications during the fractal and chaos revolutions.

Striking a balance between the use of computer-aided engineering practices and classical life testing, this reference expounds on current theory and methods for designing reliability tests and analyzing resultant data through various examples using Microsoft(R) Excel, MINITAB, WinSMITH, and ReliaSoft software across multiple industries.

This title was originally published in 1961.

In this book, we explain the development of a new filtering method to estimate the hidden states of random variables for multiple non-stationary time series data.

Presents the state of the art in sparse and multiscale image and signal processing.

Numerical Computation Using C is a four-chapter text guide for learning C language from the numerical analysis viewpoint.

This 49th volume offers a good sample of the main streams of current research on probability and stochastic processes, in particular those active in France.

Alle Analysen werden an einem durchgehenden Fallbeispiel konkret und transparent durchgeführt Strukturgleichungsmodelle sind in allen Wissenschaftsdisziplinen von größter Bedeutung, da sie das Standardinstrument zur empirischen Prüfung von Hypothesensystemen darstellen.

This book is dedicated to the memory of Gisele Mersch whose life ended prematurely in June 2002.

This book depicts a wide range of situations in which there exist finite form representations for the Meijer G and the Fox H functions.

A guide to modeling analyses for financial and sports gambling markets, with a focus on major current events Addressing the highly competitive and risky environments of current-day financial and sports gambling markets, Forecasting in Financial and Sports Gambling Markets details the dynamic process of constructing effective forecasting rules based on both graphical patterns and adaptive drift modeling (ADM) of cointegrated time series.

Handbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37 addresses new challenges in existing and emerging diseases.

CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data.

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate and M.

Efficiency and productivity improvement are imperative for businesses to remain competitive in an increasingly dynamic marketplace.

This book contains the latest material in the subject, covering next generation sequencing (NGS) applications and meeting the requirements of a complete semester course.

This book is devoted to the fundamentals of order and rank statistics.

This book deals with a basic problem arising within the Bayesian approach 1 to scientific methodology, namely the choice of prior probabilities.

Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines.

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings.

The complete theory of stochastic differential equations driven by jumps, their stability, and numerical approximation theories.

What is the best way to auction an asset?

Handbook of the Shapley Value contains 24 chapters and a foreword written by Alvin E.

Covers the fundamentals of case-control studies including important recent developments, with a focus on statistical analysis.

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation.

Completion of this Handbook would not have been possible without the generous and dedicated assistance of numerous people.

This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact.