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 ...
Reviews fundamental concepts and applications of probability and statistics. After a general overview, it considers special types of random variables, using examples which illustrate their wide variety of applications. Also...
This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book.
As reported by Lipsitz, Dear, Laird, and Molenberghs in a 1998 paper in Biometrics, the result of this was that 39 of the 72 patients given the first treatment and 44 of the 84 patients given the second treatment survived for over 5 ...
Market_Desc: · Advanced Undergraduate Students in Engineering or Management About The Book: This book retains the pedagogical strengths that made the previous editions so popular, including the use of real data in the examples.
This book is also an ideal reference for lecturers, educators and newcomers to the field who wish to increase their knowledge of fundamental concepts. Engineering consulting firms will also find the explanations and examples useful.
This is caused by increasing significance of various uncertainties affecting performance of complex technological systems.
Probability and Statistics for Engineering and the Sciences + Enhanced Webassign Access
Probability and Statistics for Engineers