Probability and statistics

This textbook shall serve a double purpose: first of all, it is a book about generalized stochastic processes, a very important but highly neglected part of probability theory which plays an outstanding role in noise modelling.

This book is especially relevant to undergraduates, postgraduates and researchers studying quantitative techniques as part of business, management and finance.

This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems.

This book presents some of the basic ideas and tools of quantum field theory to a mathematical audience.

This book aims to clarify the priorities of the Sendai Framework for the DRR 2015 - 2030, through gathering recent contributions addressing the different ways researchers define, measure, reduce, and manage risk in the challenge of the DRR.

The main part of the book is based on a one semester graduate course for students in mathematics.

Program for data analysis using R and learn practical skills to make your work more efficient.

This book investigates human-machine systems through the use of case studies such as crankshaft maintenance, liner piston maintenance, and biodiesel blend performance.

Nonpharmacological treatments include a wide variety of treatments such as surgery, technical procedures, implantable and non-implantable devices, rehabilitation, psychotherapy, and behavioral interventions.

This book describes many types of Conference matrices and shows the case studies of application.

The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF2024.

Uno de los principios epistemológicos de valoración de la ciencia es que todo saber debe estar en la posesión de un objeto que causa, motiva y aviva el conocimiento.

An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics.

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic.

This book deals with the development of methodology for the analysis of truncated and censored sample data.

Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time.

Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language.

The Working Group 5 of the International Medical Informatics Associ- ation (IMIA) dedicates its work to information systems in primary and ambulatory care.

Parallel processing can be ideally suited for the solving of more complex problems in statistical computing.

This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman (1931-1977), a pioneer in developing machine learning theory.

More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today's research.

This book is concerned with important problems of robust (stable) statistical pat- tern recognition when hypothetical model assumptions about experimental data are violated (disturbed).

The purpose of this book is to thoroughly prepare the reader for applied research in clustering.

Be prepared for exam day with Barron's.

Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals.

Sentiment analysis research has been started long back and recently it is one of the demanding research topics.

DYNAMICS REPORTED reports on recent developments in dynamical systems.

Over the last decade, spin glass theory has turned from a fascinating part of t- oretical physics to a ?

This textbook offers a unique compendium of measurement procedures for experimental data acquisition.

The analysis prediction and interpolation of economic and other time series has a long history and many applications.

Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook.

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years.

This book, first published in 2000, focuses on developments in the study of geodesic flows on homogenous spaces.

Stochastic instantaneous volatility models such as Heston, SABR or SV-LMM have mostly been developed to control the shape and joint dynamics of the implied volatility surface.

This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions.

Using time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up, number of events, and independence or "e;noninformativeness"e; of the censoring mechanisms relative to the event.

This handbook gathers the full range of statistical techniques and tools required by engineers, analysts and scientists from all fields.

A milestone in the published literature on the subject, this first-ever Handbook of Beta Distribution and Its Applications clearly enumerates the properties of beta distributions and related mathematical notions.

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society’s international conference on “Statistics for Innovation”, SIS 2025, held in Genoa, Italy, June 16-18, 2025.

This volume features a collection of contributed articles and lecture notes from the XIII Symposium on Probability and Stochastic Processes, held at UNAM, Mexico, in December 2017.

Mixing up various disciplines frequently produces something that are profound and far-reaching.

This book is based on the lecture notes of the author delivered to the students at the Institute of Science, Banaras Hindu University, India.