Probability and statistics

A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years.

This book constitutes the refereed proceedings of the 6th International Workshop on Biomedical Image Registration, WBIR 2014, held in London, UK, in July 2014.

Partial differential equations is a many-faceted subject.

This book presents the theory and methods of flexible and generalized uncertainty optimization.

After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area.

This volume contains a selection of papers by the participants of the 6.

The development of wireless telecommunication and ubiquitous computing te- nologies has led to a growing mobile population and dramatically changed p- terns of working and everyday life.

Modern analysis of HEP data needs advanced statistical tools to separate signal from background.

This book covers applications of fractional calculus used for medical and health science.

In recent decades, there has been enormous growth in biologics research and development, with the accompanying development of biological assays for emerging products.

Alladi Ramakrishnan (1923-2008) was an eminent scientist who had a wide range of research interests in theoretical and mathematical physics.

This book focuses on maximum principle and verification theorem for incomplete information forward-backward stochastic differential equations (FBSDEs) and their applications in linear-quadratic optimal controls and mathematical finance.

This second edition of Probability With Statistical Applications offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications.

Wildlife researchers and ecologists make widespread use of multivariate statistics in their studies.

This book is concerned with statistical methods for the analysis of data collected from a survey.

This work illustrates research conducted over a ten-year timespan and addresses a fundamental issue in reliability theory.

Wavelet-based procedures are key in many areas of statistics, applied mathematics, engineering, and science.

Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist.

Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago.

This book constitutes the refereed proceedings of the 8th International Conference on Business Intelligence, CBI 2023, which held in Istanbul, Turkey, during July 19-21, 2023.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years.

This IMA Volume in Mathematics and its Applications TIME SERIES ANALYSIS AND APPLICATIONS TO GEOPHYSICAL SYSTEMS contains papers presented at a very successful workshop on the same title.

This book explores event-based estimation problems.

This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R.

This volume of the Selected Papers is a product of the XIX Congress of the Portuguese Statistical Society, held at the Portuguese town of Nazare, from September 28 to October 1, 2011.

This book contains thirty-three papers from among the thirty-eight papers presented at the Fourth International Conference on Fibonacci Numbers and Their Applications which was held at Wake Forest University, Winston-Salem, North Carolina from July 30 to August 3, 1990.

Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today.

This textbook offers an approachable introduction to stochastic processes that explores the four pillars of random walk, branching processes, Brownian motion, and martingales.

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis.

Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity.

The present lecture notes describe stochastic epidemic models and methods for their statistical analysis.

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics.

This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used.

The main focus of this book is presenting practical procedures for improving learning effectiveness using note taking activities during e-learning courses.

This book is an integrated work published in two volumes.

A highly accessible alternative approach to basic statistics Praise for the First Edition: "e;Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see .

Develops the theory of Markov and semi-Markov processes in an elementary setting suitable for senior undergraduate and graduate students.

This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences.

The book describes the possibility of making a probabilistic prognosis, which uses the mean n-day logarithm of case numbers in the past to determine an exponent for a probability density for a prognosis, as well as the particle emission concept, which is derived from contact and distribution rates that increase the exponent of the probable development to the extent that a group of people can be formed.

Tracing its roots back to World War II, operations research (OR) has become a vital tool in military and defense strategy.

Probability and statistics courses are more popular than ever.

Networks have become nearly ubiquitous and increasingly complex, and their support of modern enterprise environments has become fundamental.

This is the first book to provide a systematic description of statistical properties of large-scale financial data.