Probability and statistics

In The Mind of Complex Numbers and the Subject in Analyses, Raul Moncayo uses the complex plane to evaluate analytic outcomes.

IF YOU'RE ENCOUNTERING STATISTICS FOR THE FIRST TIME, AND WANT A READABLE, SUPPORTIVE INTRODUCTION, THEN THIS IS THE BOOK FOR YOU.

In The Mind of Complex Numbers and the Subject in Analyses, Raul Moncayo uses the complex plane to evaluate analytic outcomes.

Dynamics of Democratic Elections explores modeling approaches to democratic elections and opinion dynamics at the intersection of mathematics, political science, and computational modeling.

Dynamics of Democratic Elections explores modeling approaches to democratic elections and opinion dynamics at the intersection of mathematics, political science, and computational modeling.

Predictive Modelling for Football Analytics discusses the most well-known models and the main computational tools for the football analytics domain.

Many contemporary business models are now completely based on the idea of a circular economy or sustainability, where they extensively use technology to save resources, become more efficient, and leave a smaller carbon footprint on the planet.

This book contains hundreds of engaging, class-tested finance exercises (and detailed solutions) that test student understanding of the material.

This book contains hundreds of engaging, class-tested finance exercises (and detailed solutions) that test student understanding of the material.

The book contains hundreds of engaging, class-tested statistics exercises (and detailed solutions) that test students' understanding of the material.

This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpret statistical analyses, without requiring any high-level math.

This book discusses the multifaceted nature of organizational excellence and proceeds to consider the roles played by data, technological advances leading to innovation and value-based leadership in guiding an organization in its journey towards excellence.

This book centres on the topic of digital twins for superior healthcare decision support, as access is enabled to large volumes of multi-dimensional data such as patient's electronic medical records, medical scans, and data.

Supply chain operations face many risks, including political, environmental, and economic.

The book contains hundreds of engaging, class-tested statistics exercises (and detailed solutions) that test students' understanding of the material.

Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R is an introductory guide to health metrics and infectious diseases.

Data clustering, an interdisciplinary field with diverse applications, has gained increasing popularity since its origins in the 1950s.

This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpret statistical analyses, without requiring any high-level math.

This book discusses the multifaceted nature of organizational excellence and proceeds to consider the roles played by data, technological advances leading to innovation and value-based leadership in guiding an organization in its journey towards excellence.

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

This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact.

This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact.

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 addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning.

This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning.

This book is an introduction to probability, statistics, data analysis, and hypothesis testing in physics.

This book is an introduction to probability, statistics, data analysis, and hypothesis testing in physics.

Entropies and Fractionality: Entropy Functionals, Small Deviations and Related Integral Equations starts with a systematization and calculation of various entropies (Shannon, Renyi, and some others) of selected absolutely continuous probability distributions.

This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status censored and right-censored data.

This concise textbook covers the full scope of an introductory course in modern probability theory, from elementary combinatorial methods to the central limit theorem, while maintaining mathematical rigor.

This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status censored and right-censored data.

This concise textbook covers the full scope of an introductory course in modern probability theory, from elementary combinatorial methods to the central limit theorem, while maintaining mathematical rigor.

Supply chain operations face many risks, including political, environmental, and economic.