Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial mark...

Elementary Number Theory, 6th Edition, blends classical theory with modern applications and is notable for its outstanding exercise sets. A full range of exercises, from basic to challenging, helps students explore key concepts and push their understanding to new heights. Computational exercises and computer projects are also available.

Reflecting many years of professor feedback, this edition offers new examples, exercises, and applications, while incorporating advancements and discoveries i...

"DE EERSTE TIEN MILJOEN CIJFERS VAN π" is een uniek en boeiend boek dat volledig is gewijd aan het tonen van de eerste 10 miljoen cijfers van pi. Dit boek is een eerbetoon aan de oneindigheid van deze wiskundige constante die al eeuwenlang de wiskundigen en wetenschappers intrigeert en fascineert.

Het boek is gepresenteerd in een elegante en minimalistische opmaak, zonder extra tekst, illustraties of annotaties. De focus ligt volledig op de cijfers zelf, met de cijfers van pi gerangschikt o...

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analys...

For an introductory, one or two semester, or sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. An Applications-Focused Introduction to Probability and Statistics Miller & Freund's Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data has bee...

Were you looking for the book with access to MyLabMath Global? This product is the book alone, and does NOT come with access to MyLabMath Global. Buy Mathematics for Engineers, 5e by Croft with MyLabMaths Global access card 5e (ISBN 9781292267685) if you need access to the MyLab as well, and save money on this brilliant resource. Understanding key mathematical concepts and applying them successfully to solve problems are vital skills that all engineering students must acquire.

Mathematics for...

The trusted resource you need to meet the challenges of teaching Calculus.

The trusted author team behind this textbook have understood the challenges instructors face in a Calculus course and have crafted a resource that gives you the tools to meet them. This text helps students learn calculus conceptually, while also emphasizing computational and problem-solving skills with a wide array of problems including engaging challenge problems and applied exercises that model the physical sciences,...

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textbook covers both statistical and machine learning (AI) algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, network analytics and generative AI. Along with hands-on exercises and real-life case st...

Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers.