Probability and statistics

This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation.

This book constitutes the proceedings of the 13th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2024, which took place in Naples, Italy, in August 2024.

This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies.

Explains probability using genetics, sports, finance, current events and more.

A guide to solving numerical problems in the biological sciences, with extensive worked examples and exercises of varying difficulty.

Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness.

Virtually any random process developing chronologically can be viewed as a time series.

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data.

This book provides a holistic view of all relevant concepts used to analyse random wireless networks.

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

We may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough.

The volume represents presentations given at the 86th annual meeting of the Psychometric Society, held virtually on July 19-23, 2021.

Interest in brain connectivity inference has become ubiquitous and is now increasingly adopted in experimental investigations of clinical, behavioral, and experimental neurosciences.

"e;Over 170 figures are included in the book.

In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers.

Originally published in 1981.

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.

Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary.

Generalized Trigonometric and Hyperbolic Functions highlights, to those in the area of generalized trigonometric functions, an alternative path to the creation and analysis of these classes of functions.

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses.

To make the best decisions, you need the best information.

Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability.

This second volume examines practical real-life applications of predictive modeling to forecast future events with an emphasis on insurance.

This monograph is focused on the derivations of exact distributions of first boundary crossing times of Poisson processes, compound Poisson processes, and more general renewal processes.

All the data was out there to warn us of this impending attack, why didn't we see it?

Originally published in 1987.

Teach Your Students How to Become Successful Working QuantsQuantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration.

This book gives an overview of singular spectrum analysis (SSA).

Surveys of recent important developments in combinatorics covering a wide range of areas in the field.

The first international conference on Probability in Banach Spaces was held at Oberwolfach, West Germany, in 1975.

A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily.

Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.

This book, fully updated for Python version 3.

In this book, the authors cover the basic methods and advances within distance sampling that are most valuable to practitioners and in ecology more broadly.

This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).

This monograph presents a theory for random field models in time and space, viewed as stochastic processes with values in a Hilbert space, to model the stochastic dynamics of forward and futures prices in energy, power, and commodity markets.

Stochastic di?

Presenting the latest findings in topics from across the mathematical spectrum, this volume includes results in pure mathematics along with a range of new advances and novel applications to other fields such as probability, statistics, biology, and computer science.

Planning clinical research requires many decisions.

This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology.

A new edition of the classic, groundbreaking book on robust statistics Over twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic.

This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21.