Probability and statistics

This book provides an introduction to basic topics in Real Analysis and makes the subject easily understandable to all learners.

We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before.

The state-space approach provides a formal framework where any result or procedure developed for a basic model can be seamlessly applied to a standard formulation written in state-space form.

This book provides a systematic presentation of the major results in the field of the theory of k-out-of-n systems obtained in recent years and their applications for the reliability assessment of high-altitude unmanned platforms.

Introduction to Probability with Texas Hold'em Examples illustrates both standard and advanced probability topics using the popular poker game of Texas Hold'em, rather than the typical balls in urns.

"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.

This is the first book to show the capabilities of Microsoft Excel to teach educational and psychological statistics effectively.

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models.

This book puts forward a new mathematical theory to study chaotic phenomenon.

Master the fundamentals of correspondence analysis with this illuminating resource An Introduction to Correspondence Analysis assists researchers in improving their familiarity with the concepts, terminology, and application of several variants of correspondence analysis.

This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools.

Die speziellen Probleme der Datenanalyse im Bereich der medizinischen Forschung erfordern ein besonderes Verständnis statistisch-biometrischer Methoden.

This book shows how to successfully adapt entropy measures to the complexity of environmental data.

This book demonstrates how to create commonly used figures and plots with SAS/GRAPH and ODS Graphics procedures.

This book presents recent non-asymptotic results for approximations in multivariate statistical analysis.

This text is intended as an introduction to mathematical proofs for students.

A reference for those working at the interface of operations planning and optimization modeling, Operations Planning: Mixed Integer Optimization Models blends essential theory and powerful approaches to practical operations planning problems.

The authors show that there are underlying mathematical reasons for why games and puzzles are challenging (and perhaps why they are so much fun).

This textbook covers the fundamentals of reliability theory and its application for engineering processes, especially for aircraft units and systems.

Im vorliegenden Buch werden neue Erkenntnisse der Lebensversicherungsmathematik aus dem Gebiet der Markovmodelle und der stochastischen Zinsen behandelt.

This title is part of UC Presss Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact.

This is a collection of essays based on lectures that author has given on various occasions on foundation of quantum theory, symmetries and representation theory, and the quantum theory of the superworld created by physicists.

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/Hinfinity theory-based approaches and contemporary stochastic optimization techniques.

This book explores the analysis of social phenomena, using a multidisciplinary approach while addressing statistical, economic, sociological, as well as psychological issues.

Emphasizing causation as a functional relationship between variables, this book provides comprehensive coverage on the basics of SEM.

This textbook uses the general linear model as an organizing system to help students understand similarities across statistical methods.

International Historical Statistics: Europe is the latest edition of the most authoritative collection of statistics available.

This book demonstrates how numbers open up new ways of thinking about problems and addresses current issues for which statistics has practical applications.

This fourth edition contains several additions.

Recently, many books on multiobjective programming have been published.

This book introduces the basic principles underlying the design and analysis of the digital communication systems that have heralded the information revolution.

Mathematics plays a central role in modern culture, and a basic understanding of the nature of mathematics is required for scientific literacy.

A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics.

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.

If you know a little bit about financial mathematics but don't yet know a lot about programming, then C++ for Financial Mathematics is for you.

A clear exposition of the underlying concepts, containing large numbers of worked examples and problem sets, first published in 2005.

This edited book is the first one written in English that deals comprehensively with behavior metrics.

A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis.

The ability to analyze and understand massive data sets lags far behind the ability to gather and store the data.

​Stochastische Modelle sind bei der Bewertung von Schadensbeträgen für Versicherungen von besonderer Bedeutung.

The articles in this book represent the major contributions at the NATO Advanced Research Workshop that was held from 6 to 9 July 1987 in the magnificent setting of Dyffryn House and Gardens, in St.

Showing how robust response surface methodology (RRSM) can overcome the limitations of RSM, this book presents RRS designs, along with the relevant regression and positive data analysis techniques.

An updated edition of a classic text on applying statistical analyses to the social sciences, with reviews, new chapters, an expanded set of post-hoc analyses, and information on computing in Excel and SPSS Now in its second edition,Statistical Applications for the Behavioral and Social Sciences has been revised and updated and continues to offer an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), placing an emphasis on connecting statistical tools with appropriate research contexts.

Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications.

Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization.

Many recent advances in modelling within the applied sciences and engineering have focused on the increasing importance of sensitivity analyses.