Probability and statistics

The problem of selection of alternatives or the problem of decision making in the modern world has become the most important class of problems constantly faced by business people, researchers, doctors and engineers.

This book is made up of two essays on the role of time in probability and quantum physics.

This book encompasses a wide range of important topics.

The causation space established in this book is a mathematical model of the random universe and a "e;living house"e; of all random tests and probability spaces.

Lecture notes from a Summer School on Quantum Probability held at the University of Grenoble are collected in these two volumes of the QP-PQ series.

Lecture notes from a Summer School on Quantum Probability held at the University of Grenoble are collected in these two volumes of the QP-PQ series.

This book consists of a series of new, peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering.

This book presents a new research topic in statistics - vertical density representation (VDR).

This workshop was the first of its kind in bringing together researchers in probability theory, stochastic processes, insurance and finance from mainland China, Taiwan, Hong Kong, Singapore, Australia and the United States.

Quantum information is a developing multi-disciplinary field, with many exciting links to white noise theory.

White noise analysis is an advanced stochastic calculus that has developed extensively since three decades ago.

The book collects original research papers on applied categorical structures, most of which have been presented at the North-West European Category Seminar 2003 in Berlin.

Statistical distributions are fundamental to Statistical Science and are a prime indispensable tool for its applications.

Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade.

This book furthers new and exciting developments in experimental designs, multivariate analysis, biostatistics, model selection and related subjects.

This volume collects refereed contributions based on the presentations made at the Sixth Workshop on Advanced Mathematical and Computational Tools in Metrology, held at the Istituto di Metrologia "e;G.

This book focuses on the algebraic-topological aspects of probability theory, leading to a wider and deeper understanding of basic theorems, such as those on the structure of continuous convolution semigroups and the corresponding processes with independent increments.

This book begins with a historical essay entitled "e;Will the Sun Rise Again?

Quantum statistical inference, a research field with deep roots in the foundations of both quantum physics and mathematical statistics, has made remarkable progress since 1990.

A common theme in probability theory is the approximation of complicated probability distributions by simpler ones, the central limit theorem being a classical example.

Stein's startling technique for deriving probability approximations first appeared about 30 years ago.

Traditionally, non-quantum physics has been concerned with deterministic equations where the dynamics of the system are completely determined by initial conditions.

This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research.

This is the very first comprehensive monograph in a burgeoning, new research area - the theory of cooperative game with incomplete information with emphasis on the solution concept of Bayesian incentive compatible strong equilibrium that encompasses the concept of the Bayesian incentive compatible core.

Combinatorial mathematicians and statisticians have made a wide range of contributions to the development of block designs, and this book brings together much of that work.

The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk.

Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods.

This is the first edited volume on response surface methodology (RSM).

This volume includes papers by leading mathematicians in the fields of stochastic analysis, white noise theory and quantum information, together with their applications.

This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here.

This book provides recent results on the stochastic approximation of systems by weak convergence techniques.

This volume contains contributions on recent results in infinite dimensional harmonic analysis and its applications to probability theory.

Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers.

Standard probability theory has been an enormously successful contribution to modern science.

This volume contains the latest results in the fields of quantum probability and infinite dimensional analysis.

This volume is devoted to the study of asymptotic properties of wide classes of stochastic systems arising in mathematical statistics, percolation theory, statistical physics and reliability theory.

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis.

A geometric process is a simple monotone process that was first introduced by the author in 1988.

This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area.

This volume is a collection of papers in celebration of the 80th birthday of Yuan-Shih Chow, whose influential work in probability and mathematical statistics has contributed greatly to mathematics education and the development of statistics research and application in Taiwan and mainland China.

There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies.

Contributed by world renowned researchers, the book features a wide range of important topics in modern statistical theory and methodology, economics and finance, ecology, education, health and sports studies, and computer and IT-data mining.

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.

This volume collects the refereed contributions based on the presentations made at the Seventh Workshop on Advanced Mathematical and Computational Tools in Metrology, a forum for metrologists, mathematicians and software engineers that will encourage a more effective synthesis of skills, capabilities and resources.

This volume contains current work at the frontiers of research in infinite dimensional stochastic analysis.

This book, which is split into two parts, is about Prof.

This monograph presents a comprehensive and up-to-date account of the developments in optimality aspects of crossover designs.

This unique volume presents a collection of the extensive journal publications written by Kai Lai Chung over a span of 70-odd years.

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book.