For undergraduates studying engineering, science or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference motivated by applications. Assumes a background in calculus; offers a unique balance of theory and methodology.
This classic book provides a rigorous introduction to basic probability theory and statistical inference that is well motivated by interesting, relevant applications.
This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational ...
The book also features: Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and ...
Hayter supports the concepts presented with a wealth of carefully developed examples. Numerous end-of-section exercises provide immediate opportunities for students to work with the concepts in the book.
Probability and Statistics for Engineering and the Sciences + Enhanced Webassign Access
Probability and Statistics for Engineers and Scientists
For junior/senior undergraduates taking probability and statistics as it applied to engineering, science or computer science. With its unique balance of theory and methodology, this classic text provides a rigorous...
Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. This text grew out of the author's notes for a course that he has taught for many years to a diverse group of undergraduates.
In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data.
Statistics for Engineers and Scientists