Probability and statistics

Brownian Motion and Classical Potential Theory is a six-chapter text that discusses the connection between Brownian motion and classical potential theory.

This book contains selected and refereed contributions to the "e;Inter- national Symposium on Probability and Bayesian Statistics"e; which was orga- nized to celebrate the 80th birthday of Professor Bruno de Finetti at his birthplace Innsbruck in Austria.

Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing.

The book of nature, according to Galilei, is written in the language of mat- matics.

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation.

This book teaches foundations of epidemiological design and statistical methods, as well as including topics applicable to new areas of research.

This book discusses the psychological traits associated with drug consumption through the statistical analysis of a new database with information on 1885 respondents and use of 18 drugs.

Now in its second edition, this book clearly, concisely and comprehensively outlines the essence of turbulence.

Mastering the basic concepts of mathematics is the key to understanding other subjects such as Economics, Finance, Statistics, and Accounting.

The inclusion of qualitative social data into global environmental and economic input-output (IO) models remained illusive for many years.

Das vorliegende Buch enthält die wichtigsten Begriffe und Grundlagen zur Analyse stochastischer Systeme.

This book summarises for the first time all relevant methodologies for type-based flood statistics, introduces the basis of flood typology and makes them accessible to the user.

This book presents an overview of operations research and systems engineering and takes a look into both fields on content, histories, contributions, and future directions so a sound career choice can be made for those who might be deciding on a career path.

This is the first book to compare eight LDFs by different types of datasets, such as Fisher's iris data, medical data with collinearities, Swiss banknote data that is a linearly separable data (LSD), student pass/fail determination using student attributes, 18 pass/fail determinations using exam scores, Japanese automobile data, and six microarray datasets (the datasets) that are LSD.

This book covers the following subjects: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.

Das dreibändige Lehrbuch „Quantitative BWL“ stellt die theoretischen quantitativen Grundlagen der betrieblichen Entscheidungen und des marktwirtschaftlichen Umfelds dar.

For one- or two-semester courses in Introductory Statistics.

Lecturers and postgraduates in mathematics and research workers in communication engineering will find this book of use and interest.

Many systems architecture optimization problems are characterized by a variable number of optimization variables.

The essentials of regression analysis through practical applications Regression analysis is a conceptually simple method for investigating relationships among variables.

This book provides professionals and practitioners with a comprehensive guide on credit risk modeling, capital modeling, and validation for Current Expected Credit Loss (CECL), International Financial Reporting Standard 9 (IFRS9), Basel Capital and Comprehensive Capital Analysis and Review (CCAR) procedures.

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables.

This book is for those interested in number systems, abstract algebra, and analysis.

Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data.

This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19.

This book disseminates the latest results and envisages new challenges in the application of mathematics to various practical situations in biology, epidemiology, and ecology.

Among the various multi-level formulations of mathematical models in decision making processes, this book focuses on the bi-level model.

This text is a basic introduction to those areas of discrete mathematics used by stu- dents of mathematics and computer science.

Infinite-dimensional analysis and quantum probability have undergone significant developments in the last few years and created many applications.

This book gives a unifying framework for estimating the abundance of open populations: populations subject to births, deaths and movement, given imperfect measurements or samples of the populations.

From the Preface by D.

This book provides a complete introduction into spatial networks.

As a comprehensive textbook in survey sampling, this book discusses the inadequacies of classic, designed-based inferential procedures and provides alternative approaches in the form of model formulations, model-design-based procedures of analysis, inference and interpretation.

This book is the first to focus on the global flow of funds (GFF), providing an introduction to its fundamental concepts and establishing a theoretical framework for analysis.

A jargon-free introduction for students and researchers looking to interpret the practical significance of their results.

This book constitutes the refereed proceedings of the 8th International Symposium on Algorithmic Game Theory, SAGT 2015, held in Saarbrucken, Germany, in September 2015.

Data visualization is the art and science of making information visible.

With the vision that machines can be rendered smarter, we have witnessed for more than a decade tremendous engineering efforts to implement intelligent sys- tems.

Self-normalized processes are of common occurrence in probabilistic and statistical studies.

This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas.

Conservation for the Anthropocene Ocean: Interdisciplinary Science in Support of Nature and People emphasizes strategies to better connect the practice of marine conservation with the needs and priorities of a growing global human population.

Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering Tshilidzi Marwala and Ilyes Boulkaibet, University of Johannesburg, South Africa Sondipon Adhikari, Swansea University, UK Covers the probabilistic finite element model based on Bayesian statistics with applications to aeronautical and mechanical engineering Finite element models are used widely to model the dynamic behaviour of many systems including in electrical, aerospace and mechanical engineering.

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations.

This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response.