Probability and statistics

This book constitutes the refereed proceedings of the 7th International Conference on Belief Functions, BELIEF 2022, held in Paris, France, in October 2022.

This book is a how-to guide on statistical analyses designed for undergraduates and others new to the subject.

From the reviews of the first edition: "e;.

This book provides structural reliability and design students with fundamental knowledge in structural reliability, as well as an overview of the latest developments in the field of reliability engineering.

This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering.

This book provides documentation for a new version of the S system released in 1988.

Giving much more attention to noninferiority testing, this second edition provides readers with a rich repertoire of efficient solutions to specific equivalence and noninferiority testing problems frequently encountered in the analysis of real data sets.

This text provides a solid understanding of the various statistical topics relevant to the design, monitoring, and analysis of a clinical trial.

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics.

This book is an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools.

A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering and economics The Bayesian Way offers a basic introduction to statistics that emphasizes the Bayesian approach and is designed for use by those studying professional disciplines like engineering and economics.

Among the most important questions that businesses ask are some very simple ones: If I decide to do something, will it work?

This book highlights the need for studying multi-state models analytically for understanding the physics of molecular processes.

This book is designed to be a practical study in infectious disease dynamics.

Bei Problemen in Technik, Natur- und Wirtschaftswissenschaften werden häufig maximale Ergebnisse unter minimalem Aufwand gesucht.

Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners.

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles.

"e;Offers a comprehensive, unified presentation of statistical designs and methods of analysis for all stages of pharmaceutical development--emphasizing biopharmaceutical applications and demonstrating statistical techniques with real-world examples.

A practical and comprehensive guide on how to apply Bayesian machine learning techniques to solve speech and language processing problems.

Fractional Brownian Motion (FBM) is a very classical continuous self-similar Gaussian field with stationary increments.

This book provides a direct and comprehensive introduction to theoretical and numerical concepts in the emerging field of optimal control of partial differential equations (PDEs) under uncertainty.

Sustainable investing has recently gained traction throughout the world.

This book is the first coherently written multi-author monograph on Web Intelli- gence (WI).

S-PLUS is a powerful tool for interactive data analysis, the creation of graphs, and the implementation of customized routines.

This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference.

Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics.

?

This textbook presents a comprehensive treatment of the theory and implementation of inverse methods in the analysis and interpretation of Earth's gravity field.

Fractal geometry allows the description of natural patterns and the establishment and testing of models of pattern formation.

This volume contains a selection of invited papers, presented to the fourth In- Statistical Analysis Based on the L1-Norm and Related ternational Conference on Methods, held in Neuchatel, Switzerland, from August 4-9, 2002.

In this book, various numerical methods are discussed in a comprehensive way.

Achieve Technological Advancements in Applied Science and Engineering Using Efficient Experiments That Consume the Least Amount of ResourcesWritten by longtime experimental design guru Thomas B.

This book addresses one of the most important research activities in empirical macroeconomics.

From August 21 through August 27, 1989 the Nato Advanced Research Workshop Probabilistic Methods in Quantum Field Theory and Quantum Gravity"e; was held at l'Institut d'Etudes Scientifiques, Cargese, France.

This textbook integrates the teaching and learning of statistical concepts with the acquisition of the Stata (version 16) software package.

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods to energy processes and systems.

Dieses Buch behandelt die wichtigsten Methoden zur Erkennung und Extraktion von „Wissen“ aus numerischen und nichtnumerischen Datenbanken in Technik und Wirtschaft.

Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology.

The aim of this book is to report on the progress realized in probability theory in the field of dynamic random walks and to present applications in computer science, mathematical physics and finance.

A Single Cohesive Framework of Tools and Procedures for Psychometrics and AssessmentBayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models.

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed.

This book provides practical applications of statistical and mathematical concepts to resolve common issues in hospital management.

This book emphasizes dose selection issues from a statistical point of view.

This book brings together the scattered literature associated with the seemingly unrelated regression equations (SURE) model used by econometricians and others.

This book seeks to bridge the gap between statistics and computer science.

This book presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative approaches to Markov chains through stochastic difference equations and stochastic differential equations.

Über Entscheidungen und die Rolle des Zufalls - Mathe für den Alltag!

Easy-to-Use Reference and Software for Statistical Modeling and TestingHandbook of Statistical Distributions with Applications, Second Edition provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations.

The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.