Probability and statistics

This new edition offers a comprehensive introduction to the analysis of data using Bayes rule.

An important novel menu for Survival Analysis entitled Accelerated Failure Time (AFT) models has been published by IBM (international Businesss Machines) in its SPSS statistical software update of 2023.

Categorical data-comprising counts of individuals, objects, or entities in different categories-emerge frequently from many areas of study, including medicine, sociology, geology, and education.

Provides a foundation for probability based on game theory rather than measure theory.

This clear and accessible text describes the methods underlying short-term climate prediction at time scales of 2 weeks to a year.

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 presents a fresh, new approach in that it provides a comprehensive recent review of challenging problems caused by imbalanced data in prediction and classification, and also in that it introduces several of the latest statistical methods of dealing with these problems.

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.

In multivariate statistical analysis, elliptical distributions have recently provided an alternative to the normal model.

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?

"e;Prof.

This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures.

One of the recent advances in 21st century medicine is the emergence of gene therapies, drugs that affect the basic biology of genetic disease.

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 brief is a clear, concise description of the main techniques of time series analysis -stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc.

This book presents a study of the COVID-19 pandemic using computational social scientific analysis that draws from, and employs, statistics and simulations.

This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio).

This book introduces a number of new sampling plans, such as time truncated life tests, skip sampling plans, resubmitted plans, mixed sampling plans, sampling plans based on the process capability index and plans for big data, which can be used for testing and inspecting products, from the raw-materials stage to the final product, in every industry using statistical process control techniques.

The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand.

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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.

"A diferencia de los dos libros publicados previamente por el autor: "Econometría fundamental" y "Econometría de series de tiempo" este texto, además de integrar los temas básicos e intermedios en el proceso lógico-empírico, incluye nuevos elementos relacionados con las ciencias de la salud en la medición del riesgo a través de modelos de corte transversal; y profundiza en "el paso a paso" al abordar cada metodología econométrica, con el uso de los respectivos programas econométricos.

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.

This book covers big data, machine learning, and artificial intelligence-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the financially excluded sections of society.

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.

Cette introduction aux concepts probabilistes et au calcul des probabilités s'adresse aux élèves-ingénieurs ou aux étudiants qui ne se destinent pas a priori à une carrière en mathématiques.

This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for modal identification and covering stochastic modeling, theoretical formulations, computational algorithms, and practical applications.

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.