This updated classic provides a superior introduction to applied probability and statistics for engineering or science majors. Author Sheldon Ross …
This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory …
This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the …
IntroductionIntroduction Knowledge, Information, and Opinions Ignorance and Uncertainty Aleatory and Epistemic Uncertainties in System Abstraction Characterizing and Modeling Uncertainty Simulation …
This text grew out of the author’s notes for a course that he has taught for many years to a …
Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientistsAimed at undergraduate/graduate-level engineering …
This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or …
One of the most successful frameworks in computational neuroscience is modelling visual processing using the statistical structure of natural images. …
This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the …
Learn to use probabilistic techniques to solve problems in geotechnical engineering. The book reviews the statistical theories needed to develop …
Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Introductory Statistics Using …
Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, …
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