Mathematics of Networks: Modulus Theory and Convex Optimization is a book that seeks to answer the question: What can be learned by adapting the theory of p-modulus (and related continuum analysis concepts) to discrete graphs?...Lasīt vairāk
First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory....Lasīt vairāk
First published in 1972, in Distribution Theory the author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory....Lasīt vairāk
A crucial statistical technique for detecting structural breaks within datasets, applicable in diverse fields such as finance and weather forecasting....Lasīt vairāk
This book discusses the multifaceted nature of organisational excellence and proceeds to consider the roles played by data, technological advances leading to innovation, and value-based leadership in guiding an organisation in its journey towards ex...Lasīt vairāk
The book provides comprehensive and in-depth exploration of how soft computing techniques can be applied in the domain of business analytics. The book shows these techniques can be leveraged to extract valuable insights from vast and complex dataset...Lasīt vairāk
Supply chain operations face many risks, including political, environmental, and economic. This book presents data mining and analytics tools with R programming as well as a brief presentation of Monte Carlo simulation that can be used to anticipate...Lasīt vairāk
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 patients electronic medical records, medical scans, and data....Lasīt vairāk
This book introduces Bayesian data analysis and Bayesian cognitive modeling to students and researchers in cognitive science (e.g. linguistics, psycholinguistics, psychology, computer science) with a focus on modeling data from planned experiments....Lasīt vairāk
Intended to provide a nearly comprehensive account of methods, theory, applications, as well as open problems related to robust SAE, that the monograph will help persuade practitioners, such as those in government agencies, to more readily adopt rob...Lasīt vairāk
The new edition of Biostatistics for Clinical and Public Health Research is the only introductory workbook to provide not only a concise overview of key statistical concepts but also step-by-step guidance on how to apply these through a range of sof...Lasīt vairāk
This textbook is designed for teaching quantitative research in the scientific, health and engineering disciplines at first-year undergraduate level, with an emphasis on statistics. Almost every dataset used is a real dataset, and is available onlin...Lasīt vairāk
In this comprehensive guide, we delve into the world of data science, machine learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems....Lasīt vairāk
This book provides a clear and straightforward introduction to statistical methods in healthcare. Designed for recent graduates, new analysts, and professionals transitioning into healthcare analytics, it offers practical guidance on tackling real-w...Lasīt vairāk
Generative AI is one of the most trending topics and application in every field of Science and Engineering with AI and Machine Intelligence. It is used to develop new products and automate the system by generating the new and improved models and imp...Lasīt vairāk
Aimed at equipping readers with the essential quantitative skills to analyze political data, the book bridges practical coding techniques in R with foundational statistical concepts, emphasizing real-world applications in politics. ics while develop...Lasīt vairāk
This book allows readers to take a slow and steady approach to understanding Python code, explaining concepts, connecting programming with real-life examples, writing Python programs, and completing case studies. For absolute beginners with no prior...Lasīt vairāk
Demonstrates how to calculate these metrics to compare the health status of different countries and explores the world of infectious diseases. Tests various machine learning tools for analyzing trends and relationships among key variables, aiming to...Lasīt vairāk
This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in Life sciences. Advanced statistical methods like testing of hypotheses, etc. as demonstrated by real data, and th...Lasīt vairāk
Applied Multiple Regression/Correlation Analysis for Aviation Research describes and illustrates multiple regression/correlation (MRC) analysis in an aviation context and is the ideal textbook for research-oriented graduate aviation programs that re...Lasīt vairāk
