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In the modern world the theory of probability is used extensively in mathematics, science, engineering, medicine... Read More >>
Globally, concerns for the environment and human well-being have increased as results of threats imposed by climate... Read More >>
This textbook highlights the many practical uses of stable distributions, exploring the theory, numerical algorithms,... Read More >>
Accordingly, the main objective of this book is to promote scientific research in the different areas of risk management,... Read More >>
This book includes chapters on specifying the correct linear regression model, adjusting for measurement error,... Read More >>
The book deals with a broad class of controls, including regular controls (vector-valued measurable functions),... Read More >>
This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for... Read More >>
This book, published in honor of Professor Laurent Praly on the occasion of his 65th birthday, explores the responses... Read More >>
This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning,... Read More >>
This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance,... Read More >>
Stochastic processes occur everywhere in sciences and engineering, and need to be understood by applied mathematicians,... Read More >>
Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library... Read More >>
NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of the... Read More >>