Probability and statistics

This book provides an introductory overview of random variables and their transformations.

This book provides an introductory overview of random variables and their transformations.

Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems arising from diverse areas.

Unlike other books about R, written from the perspective of statistics, this book is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R.

Since the publication of the popular first edition, the contributed R packages on CRAN have increased from around 1,000 to over 6,000.

This work was prepared to serve as an R supplement for textbooks on Linear Statistical Models.

This book demonstrates how to create commonly used figures and plots with SAS/GRAPH and ODS Graphics procedures.

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics.

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management.

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management.

This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference.

Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations.

This book focuses on the fundamental principles behind scientific methods.

Unlock the future of technology with this captivating exploration of swarm intelligence.

Compound Poisson approximation appears naturally in situations where one deals with a large number of rare events.

This textbook presents the fundamental economic dimensions of insurance companies and links them to managerial issues.

Compound Poisson approximation appears naturally in situations where one deals with a large number of rare events.

Developments in multimedia database management have exploded during the past decade.

Starting with the Shannon-Wiener approach to mathematical information theory, allowing a mathematical "e;measurement"e; of an amount of information, the book begins by defining the terms message and information and axiomatically assigning an amount of information to a probability.

Containing many results that are new, or which exist only in recent research articles, this thoroughly revised third edition of Interest Rate Modeling: Theory and Practice, Third Edition portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation.

This primer provides an accessible introduction to MATLAB version 8 and its extensive functionality for statistics.

This book presents fundamental relations between random walks on graphs and field theories of mathematical physics.

This book presents fundamental relations between random walks on graphs and field theories of mathematical physics.

The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks.

This book helps readers bridge the gap between school-level mathematical skills and the quantitative and analytical skills required at the professional level.

This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science.

The game of Dots-and-Boxes, the popular game in which two players take turns connecting an array of dots to form squares, or boxes has long been considered merely a child's game.

This book offers a broad selection of statistical applications to everyday situations, illustrating how exciting and diverse statistical analysis can be.

Power Analysis of Trials with Multilevel Data is a valuable reference for anyone who wants to perform power calculations on trials with hierarchical data.

Analysis of queues is used in a variety of domains including call centers, web servers, internet routers, manufacturing and production, telecommunications, transportation, hospitals and clinics, restaurants, and theme parks.

MATRIX is Australia’s international and residential mathematical research institute.

Originally written to define the relation between the theories of transfinite numbers and mathematical games, the resulting work is a mathematically sophisticated but eminently enjoyable guide to game theory.

This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains.

Many of the product recalls that we see daily are due to unexpected failures resulting from poor reliability analysis during the product design stage.

How to Build a Human Brain takes a developmental approach to understanding brain structure and function.

Nonparametric Regression and Generalized Linear Models focuses on the roughness penalty method of nonparametric smoothing and shows how this technique provides a unifying approach to a wide range of smoothing problems.

Statistics for Social Understanding introduces statistics as it's used in the social sciences-as a tool for advancing understanding of the social world.

Explaining how to improve our knowledge-based society, this book addresses problems in collecting, synthesizing, coordinating, and creating knowledge.

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models, GANs, Hybrid Models, Score-based Generative Models, Energy-based Models, and Large Language Models.

Gaussian Integrals form an integral part of many subfields of applied mathematics and physics, especially in topics such as probability theory, statistics, statistical mechanics, quantum mechanics and so on.

This book covers important topics in econometrics.

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools.

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools.

Drawing on a comprehensive theoretical foundation encompassing socio-constructivism, social learning, and motivation, this book offers a new theoretical contribution and sheds light on the transformative power of acumenous game-based learning to reengage learners with Mathematics and Statistics Education.

Incorporating more than 20 years of the editors' and contributors' statistical work in mixed membership modeling, this handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data.