Probability and statistics

Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before.

This book constitutes the proceedings of the 17th International Conference on Quantitative Evaluation Systems, QEST 2020, held in Vienna, Austria, in August/September 2020.

This volume provides an introduction to the theory of Mean Field Games, suggested by J.

Indicators are more and more applied to describe and analyze complex systems.

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

This collection of contributions originates from the well-established conference series "e;Fractal Geometry and Stochastics"e; which brings together researchers from different fields using concepts and methods from fractal geometry.

Robust Integration of Model-Based Fault Estimation and Fault-Tolerant Control is a systematic examination of methods used to overcome the inevitable system uncertainties arising when a fault estimation (FE) function and a fault-tolerant controller interact as they are employed together to compensate for system faults and maintain robustly acceptable system performance.

This book results from the talks presented at the First Conference on Transfer between Mathematics & Industry (CTMI 2019).

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020.

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020.

This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series.

This book constitutes the refereed proceedings of the 5th International Symposium on Ubiquitous Networking, UNet 2019, held in Limoges, France, in November 2019.

This book provides an updated account of the regression techniques employed in comparing analytical methods and to test the biases of one method relative to others - a problem commonly found in fields like analytical chemistry, biology, engineering, and medicine.

This book shows the capabilities of Microsoft Excel in teaching health services management statistics effectively.

This book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical standpoint.

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 volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory.

This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory.

Highlighting the latest advances in nonparametric and semiparametric statistics, this book gathers selected peer-reviewed contributions presented at the 4th Conference of the International Society for Nonparametric Statistics (ISNPS), held in Salerno, Italy, on June 11-15, 2018.

This book presents a comprehensive introduction to well logging and the inverse problem.

This book provides a solid empirical portrait based on the complexities of demographic components of population change.

This book highlights interdisciplinary insights, latest research results, and technological trends in Business Intelligence and Modelling in fields such as: Business Intelligence, Business Transformation, Knowledge Dissemination & Implementation, Modeling for Logistics, Business Informatics, Business Model Innovation, Simulation Modelling, E-Business, Enterprise & Conceptual Modelling, etc.

This volume gathers selected peer-reviewed papers presented at the XXVI International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held on July 8-11, 2020 in Rio de Janeiro, Brazil.

This book introduces the basic methodologies for successful data analytics.

This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday.

This book explores the concept of complementation in the adjectival domain of English grammar.

This book provides a hands-on guide to how financial models are actually implemented and used in practice, on a daily basis, for pricing and risk-management purposes.

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.

This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods.

This book bridges the gap between theory and applications that currently exist in undergraduate engineering probability textbooks.

This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time Series and Forecasting (ITISE 2019), held in Granada, Spain, on September 25-27, 2019.

This undergraduate textbook presents an inquiry-based learning course in stochastic models and computing designed to serve as a first course in probability.

The text contains detailed and complete proofs and includes instructive historical introductions to key chapters.

This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships.

This book presents a consistent and complete framework for studying the risk management of a pension fund.

This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice.

Environmental Data Analysis is an introductory statistics textbook for environmental science.

This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible applications to queueing systems, epidemiology, finance, and other fields.

This book examines application and methods to incorporating stochastic parameter variations into the optimization process to decrease expense in corrective measures.

This book describes how Bayesian methods work.

Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods.

The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series.

This textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades.

This book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students.

The contributions in this book survey results on combinations of probabilistic and various other classical, temporal and justification logical systems.

This textbook highlights the many practical uses of stable distributions, exploring the theory, numerical algorithms, and statistical methods used to work with stable laws.

Dies ist eine Einführung in die Theorie der (Wahrscheinlichkeiten der) großen Abweichungen, die mit Hilfe analytischer Methoden die exponentielle Abfallrate sehr kleiner Wahrscheinlichkeiten charakterisiert.

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018.

This book provides an overview of the application of statistical methods to problems in metrology, with emphasis on modelling measurement processes and quantifying their associated uncertainties.

This book discusses recent developments in dynamic reliability in multi-state systems (MSS), addressing such important issues as reliability and availability analysis of aging MSS, the impact of initial conditions on MSS reliability and availability, changing importance of components over time in MSS with aging components, and the determination of age-replacement policies.