Probability and statistics

Shortlisted for the William Hill Sports Book of the Year Award 2022Football has always measured success by what you win, but only in the last twenty years have clubs started to think about how you win.

Essays by leading intellectuals and public figures explore extreme events, environments, and achievements.

Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines.

Updated to conform to Mathematica(R) 7.

This book offers a design research methodology intended to improve the quality of design research- its academic credibility, industrial significance and societal contribution by enabling more thorough, efficient and effective procedures.

This book offers a comprehensive overview of statistical methodology for modelling and evaluating spatial variables useful in a variety of applications.

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics.

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets.

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning.

"e;.

An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling.

Michael Harrison returns to an important topic in stochastic process theory, and illustrates its many influential applications in business and economics.

Large numbers of studies of the KdV equation have appeared since the pioneering paper by Gardner, Greene, Kruskal, and Miura in 1967.

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

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on optimization techniques used to solve problems with adaptive, dynamic, and stochastic features.

Apply analytics to business problems using two very popular software tools, SAS and R.

Monte Carlo Methods are among the most used, and useful, computational tools available today.

This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE).

This book provides detailed empirical analysis of countries in Asia to examine various dynamic models that incorporate the impact of technology and innovations on the industry evolution and overall economic growth.

This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties.

Mathematics and Statistics for the Quantitative Sciences was born from a radical reimagining of first-year mathematics.

This volume reviews longitudinal models and analysis procedures for use in the behavioral and social sciences.

Game-theoretic probability and finance come of age Glenn Shafer and Vladimir Vovk s Probability and Finance, published in 2001, showed that perfect-information games can be used to define mathematical probability.

RicochetConfessions Of A Gun Lobbyist"e;Ricochet tells the truth.

This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis.

This book is about building platforms for pandemic prediction.

The theory of linear discrete time filtering started with a paper by Kol- mogorov in 1941.

The aim of this book is to show that the probabilistic formalisms of classical statistical mechanics and quantum mechanics can be unified on the basis of a general contextual probabilistic model.

The beauty of a knotty oak tree is different from that of a lovely flower.

A concise introduction, aimed at young researchers, to recent developments of a geometric and topological nature in random graphs.

Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints.

Handbook of Forensic Statistics is a collection of chapters by leading authorities in forensic statistics.

We wrote this book to introduce graduate students and research workers in var- ious scientific disciplines to the use of information-theoretic approaches in the analysis of empirical data.

This book deals with extreme value theory for univariate and multivariate time series models characterized by power-law tails.

Nonparametric statistical methods minimize the number of assumptions that need to be made about the distribution of data being analysed, unlike classical parametric methods.

Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies.

This textbook highlights the many practical uses of stable distributions, exploring the theory, numerical algorithms, and statistical methods used to work with stable laws.

Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals.

Big data is presenting challenges to cybersecurity.

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library.

Multi-valued and fuzzy logics provide mathematical and computational tools for handling imperfect information and decision-making with rational collective reasoning and irrational individual judgements.

As operations research (OR) applications continue to grow and flourish in a number of decision making fields, a reference that is comprehensive, concise, and easy to read is more than a nicety, it is a necessity.

Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language.

An important novel menu for Survival Analysis entitled Accelerated Failure Time (AFT) models has been published by IBM (international Businesss Machines) in its SPSS statistical software update of 2023.

Categorical data-comprising counts of individuals, objects, or entities in different categories-emerge frequently from many areas of study, including medicine, sociology, geology, and education.

Provides a foundation for probability based on game theory rather than measure theory.

This clear and accessible text describes the methods underlying short-term climate prediction at time scales of 2 weeks to a year.