Matrix-analytic Methods in Stochastic Models

This is the first book of its kind to advocate utilizing and combining an assortment of trauma treatment models.

Now in its second edition, Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, including a contribution from Peter Gill, the father of DNA analysis, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. This latest edition is fully updated and includes current and emerging techniques in this fast-moving field. The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis. This includes modern interpretation methods and contemporary population genetic models available for estimating DNA frequencies or likelihood ratios. Following a chapter on procedures for validating databases, the text presents overviews and performance assessments of both modern sampling uncertainty methods and current paternity testing techniques, including new guidelines on paternity

In this concise yet comprehensive guide to the mathematics of modern portfolio theory the authors discuss mean-variance analysis, factor models, utility theory, stochastic dominance, very long term investing, the capital asset pricing model, risk measures including VAR, coherence, market efficiency, rationality and the modelling of actuarial liabilities. Each topic is clearly explained with assumptions, mathematics, limitations, problems and solutions presented in turn. Joshi's trademark style of clarity and practicality is here brought to classical financial mathematics. The book is suitable for mathematically trained students in actuarial studies, business and economics as well as mathematics and finance, and it can be used for both self-study and as a course text. The authors' experience as both academics and practitioners brings clarity and relevance to the book, whilst ensuring that the limitations of models are highlighted.

The Effective Organization explores the issues and challenges of levering information technology to respond more effectively to client needs and objectives both within a company and?a market. Based on examples of successes and failures over the last decade, it provides a?forum for discussion within organizations, and between firms and their different business partners.The authors begin by examining the inherent links between business value, business models, and corporate strategy. They show how IT has progressively influenced our perceptions of value by impacting the practice of management, and?propose the Value Matrix ? as a guide to determining how to best deploy talent, organization, and technology to produce value in a company and?a market.Building on these foundations, they?then turn their attention to how current management practice?often neglects the goal of business value. As the prescriptions for optimising organizations and technology have reached their limits, they argue, a

An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is