Probability and statistics

1.

This book presents a thoughtful compilation of chapters derived from the proceedings of the 8th International Arab Conference on Mathematics and Computations (IACMC 2023), held at Zarqa University in Zarqa, Jordan, from 10-12 May 2023.

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.

Learn how to write R code with fewer bugs.

Praise for the first edition:"e;[This book] succeeds singularly at providing a structured introduction to this active field of research.

This volume highlights recent developments of stochastic analysis with a wide spectrum of applications, including stochastic differential equations, stochastic geometry, and nonlinear partial differential equations.

The material in this book was first presented as a one-semester graduate course in Measurement Theory for M.

This book introduces readers to a new approach to identifying stock market bubbles by using the illiquidity premium, a parameter derived by employing conic finance theory.

The book gives a comprehensive overview of modern non-life actuarial science.

"e;The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability.

Financial Data Analysis with R: Monte-Carlo Validation is a comprehensive exploration of statistical methodologies and their applications in finance.

The emerging biotechnologies have significantly advanced the study of biological mechanisms.

A readable 2006 synthesis of three main areas in the modern theory of stochastic processes.

Behavioural Economics and Terrorism can be used as a guide to help us think about thinking and, in doing so, to appreciate the deep quirkiness of human behaviour.

This is a volume consisting of selected papers that were presented at the 3rd St.

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.

This book constitutes the refereed proceedings of the 10th International Conference on Information Theoretic Security, ICITS 2017, held in Hong Kong, China, in November/December 2017.

This book offers an introductory-level guide to the complex field of multivariate analytical calibration, with particular emphasis on real applications such as near infrared spectroscopy.

This monograph highlights the connection between the theory of neutron transport and the theory of non-local branching processes.

This book focuses on counting processes and continuous-time Markov chains motivated by examples and applications drawn from chemical networks in systems biology.

Almost as soon as we had completed our previous book Functional Data Analysis in 1997, it became clear that potential interest in the ?

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resources most effectively.

This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering.

Both humanitarian and commercial considerations have spurred intensive search for methods to reduce the time and cost required to develop new therapies.

This textbook presents some basic stochastic processes, mainly Markov processes.

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems.

Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making problems, which are stimulated by a vast number of applications.

Advances in Stochastic Modelling and Data Analysis presents the most recent developments in the field, together with their applications, mainly in the areas of insurance, finance, forecasting and marketing.

First issued in translation as a two-volume work in 1975, this classic book provides the first complete development of the theory of probability from a subjectivist viewpoint.

This book provides a captivating journey through the realms of classical and quantum systems as it unravels the profound influence that noise may have on their static and dynamic properties.

This monograph and translation from the Russian describes in detail and comments on the fundamentals of metrology.

The Handbook of Health Services Research is a reference for all aspects of the field of health services and outcomes research.

Originally published in 1968, this book was intended to help those in health and welfare services as well as those whose policy decisions are influenced by the movement of statistical indices of health, to understand the purpose, derivation and meaning of these indices.

In the United States, a rare disease is defined by the Orphan Drug Act as a disorder or condition that affects fewer than 200,000 persons.

This book presents important recent applied mathematics research on environmental problems and impacts due to climate change.

The "e;big data"e; era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media, news, and everyone's daily life.

This book extends the local central limit theorem to Markov chains whose state spaces and transition probabilities are allowed to change in time.

The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs.

A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach.

In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges.

Mathematical Software deals with software designed for mathematical applications such as Fortran, CADRE, SQUARS, and DESUB.

In diagnostic medicine a large part of information about the patient is drawn from data, which, more or less, are represented in an opti- calor pictorial form.

What mathematical modeling uncovers about life in the cityX and the City, a book of diverse and accessible math-based topics, uses basic modeling to explore a wide range of entertaining questions about urban life.

This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively.

Classical statistical models for regression, time series and longitudinal data provide well-established tools for approximately normally distributed vari- ables.

Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people's preferences based on decision making in hypothetical choice situations.