Probability and statistics

This book includes high-quality papers presented at 18th International Conference on Information Technology and Applications (ICITA 2024), held in Sydney, Australia, during October 17-19, 2024.

This book is a complete revision of the earlier work Probability which ap- peared in 1970.

The components of variance is a notion essential to statisticians and quantitative research scientists working in a variety of fields, including the biological, genetic, health, industrial, and psychological sciences.

Preeminent Experts Update a Well-Respected BookTaking into account the regulatory and scientific developments that have occurred since the second edition, Design and Analysis of Bioavailability and Bioequivalence Studies, Third Edition provides a complete presentation of the latest progress of activities and results in bioavailability and bioequiva

International Series of Monographs in Pure and Applied Mathematics, Volume 89: Applied Methods of the Theory of Random Functions presents methods of random functions analysis with their applications in various branches of technology, such as in the theory of ships, automatic regulation and control, and radio engineering.

Presents an important open problem on operator algebras in a style accessible to young researchers or Ph.

Praise for the Third Edition Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.

A clear, lively and data-centric introduction to statistics with integrated SPSS (version 22) commands.

A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "e;how would you model uncertainty?

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This book provides a comprehensive survey of the most recent methodology--both theoretical and applied--on the statistical analysis and detection of defective/"e;non-conforming"e; items in various types of inspection for attributes, when the inspection itself is subject to error.

Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood.

This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in today's research.

This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.

This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs.

This new edition textbook continues down the path that the first edition, winner of the 2013 IISE/Joint Publishers Book-of-the-Year Award, successfully carved out.

For the new edition of Biostatistics and Epidemiology, Dr.

The book collects papers on several topics in probability and stochastic processes.

This paperback edition is a reprint of the 2000 edition.

Easy access to simple, reliable definitions and explanations of modern statistical and statistics-related concepts.

In full generality, minimizing a polynomial function over a closed semi-algebraic set requires complex mathematical equations.

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball.

Decision theory provides a formal framework for making logical choices in the face of uncertainty.

Callable mortgage bonds are utilized by individuals and companies to finance the purchase of real estate, and this asset class therefore plays a crucial role in modern society.

With this book, which is based on the third edition of a book first written in German about random walks, the author succeeds in a remarkably playful manner in captivating the reader with numerous surprising random phenomena and non-standard limit theorems related to simple random walks and related topics.

A Journey into Open Science and Research Transparency in Psychology introduces the open science movement from psychology through a narrative that integrates song lyrics, national parks, and concerns about diversity, social justice, and sustainability.

Since the development of the first intelligence test in the early 20th century, educational and psychological tests have become important measurement techniques to quantify human behavior.

As a hospital physician it is impossible to escape the notion that the difficult medical problems one encounters are also being confronted by other' physicians throughout the world.

From ancient soothsayers and astrologists to today's pollsters and economists, probability theory has long been used to predict the future on the basis of past and present knowledge.

A comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric.

Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30 years, it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made available.

Statistics is confusing, even for smart, technically competent people.

This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis.

Supernovae, hypernovae and gamma-ray bursts are among the most energetic explosions in the universe.

Cyberspace is changing the face of crime.

Statistical quantitative methods are vital for financial valuation models and benchmarking machine learning models in finance.

A textbook for a graduate course in the theory of distributions and related topics, for students of applied mathematics or theoretical physics.

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

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Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model.

The book is the extended and revised version of the 1st edition and is composed of two main parts: mathematical background and queueing systems with applications.

The book provides an accessible but comprehensive overview of methods for mediation and interaction.

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues.

In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data.

A modern and comprehensive treatment of tolerance intervals and regions The topic of tolerance intervals and tolerance regions has undergone significant growth during recent years, with applications arising in various areas such as quality control, industry, and environmental monitoring.

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

An introductory text for students taking a first course in statistics-in fields as diverse as engineering, business, chemistry, and biology-Essential Statistics: Fourth Edition thoroughly updates and enhances the hugely successful third edition.

Advanced Computational Techniques for Sustainable Computing is considered multi-disciplinary field encompassing advanced computational techniques across several domain, including, Computer Science, Statistical Computation and Electronics Engineering.