Probability and statistics

This book provides an introduction to the mathematical modelling of real world financial markets and the rational pricing of derivatives, which is part of the theory that not only underpins modern financial practice but is a thriving area of mathematical research.

Iterative Methods for Queuing and Manufacturing Systems introduces the recent advances and developments in iterative methods for solving Markovian queuing and manufacturing problems.

Statistical Inference for Ergodic Diffusion Processes encompasses a wealth of results from over ten years of mathematical literature.

Learning and Generalization provides a formal mathematical theory addressing intuitive questions of the type: How does a machine learn a concept on the basis of examples?

We hope this book will make the bewildering variety of methods for estimat- ing the abundance of animal populations more accessible to the uninitiated and more coherent to the cogniscenti.

Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical inferential techniques for using these models in practice.

The central concepts in this book are Lebesgue measure and the Lebesgue integral.

Written by Nick Bingham, Chairman and Professor of Statistics at Birkbeck College, and Rudiger Kiesel, an "e;up-and-coming"e; academic, Risk Neutrality will benefit the Springer Finance Series in many ways.

This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing.

A workshop to look at strategies, methods of implementation and evaluation of vocational training and Continuing Medical Education in General Practice was held in June 1990 in London.

Uncertainty is an inherent feature of both properties of physical systems and the inputs to these systems that needs to be quantified for cost effective and reliable designs.

Recent Advances in System Reliability discusses developments in modern reliability theory such as signatures, multi-state systems and statistical inference.

Multiple sclerosis is one of the major current problems in neurol- ogical practice.

A Longitudinal Study of Adolescent Growth reports the findings of a longitudinal study of the growth of 200 schoolboys and 100 schoolgirls through the course of adolescence.

This book is based on the 20th Study Group of the Royal College of Obstetricians and Gynaecologists, which concerned the important topic of fetal growth.

This book contains the full proceedings of the Tenth World Conference on Tobacco or Health, held 24-28 August 1997 in Beijing, China, and hosted by the Chinese Association on Smoking and Health and the Chinese Medical Association.

Randomized Algorithms discusses two problems of fine pedigree: counting and generation, both of which are of fundamental importance to discrete mathematics and probability.

Crucial decisions concerning surgical treatment are often based on the results of various methods used for assessing colorectal function.

It is increasingly clear that good quantitative work in the environmental sciences must be genuinely interdisciplinary.

Measure, Integral and Probability is a gentle introduction that makes measure and integration theory accessible to the average third-year undergraduate student.

Neural networks have had considerable success in a variety of disciplines including engineering, control, and financial modelling.

This book has been designed for a final year undergraduate course in stochastic processes.

This book contains the proceedings of the conference ANNIMAB-l, held 13-16 May 2000 in Goteborg, Sweden.

Over the past decades, although stochastic system control has been studied intensively within the field of control engineering, all the modelling and control strategies developed so far have concentrated on the performance of one or two output properties of the system.

Developed from a set of lecture notes by Professor Kamen and since developed and refined by both authors, this introductory yet comprehensive study is a prime example in its field.

As this Preface is being written, the twentieth century is coming to an end.

Probability Models is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics.

Modern information systems must handle huge amounts of data having varied natural or technological origins.

Discrete-time Stochastic Systems gives a comprehensive introduction to the estimation and control of dynamic stochastic systems and provides complete derivations of key results such as the basic relations for Wiener filtering.

Information usually comes in pieces, from different sources.

An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models is the main goal of this book.

In summary, Bayesian methods are already seen by many as an essential tool to aid in formal chronology building in archaeology.

This book examines Florence Nightingale David's life, contributions, and relationships throughout her life, as well as her subsequent legacy.

This book examines biomass mixture modeling and optimization.

This volume on the latest developments in statistical modelling is a collection of refereed papers presented at the 38th International Workshop on Statistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK.

This volume features a collection of peer-reviewed contributions from the biannual conference organized by the Mexican Statistical Society, held in Cuernavaca, Mexico, from September 27-29, 2023.

The two-volume set LNBIP 518 and 519 constitutes the refereed post-conference proceedings of the 25th International Conference on Enterprise Information Systems, ICEIS 2023, which was held in Prague, Czech Republic, during April 2023.

This book compares the population history of Japan, Korea, Taiwan, and China to understand such emergent changes as extremely low fertility in Korea and Taiwan, compressed urbanization and a massive diaspora from Korea, early population aging relative to economic development in China, and changing patterns of cross-border migration in the region.

This book does not focus solely on asymptotic extreme value distributions.

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008.

This book presents data-driven algorithms used in the context of wind farm modelling and exploits their relation with concepts from non-linear dynamical system theory.

This book is about the choices that researchers can make when building knowledge in social and behavioural spaces.

This book of peer-reviewed short papers on methodological and applied statistics and demography is the fourth of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024.

This book of peer-reviewed short papers on methodological and applied statistics and demography is the fourth of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024.

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

This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives.

This textbook introduces the fundamental concepts and methods of statistical learning.

This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives.