- An Introduction to Probability and Statistics by Vijay K. Rohatgi; A. K. Ehsanes Saleh 2015ISBN: 9781118799642Publication Date: 2015-09-08
- The Theory of Probability by Santosh S. Venkatesh 2012ISBN: 9781107024472Publication Date: 2012-11-08

- Introduction to Stochastic Processes in R and Mathematica by Robert P. Dobrow 2016ISBN: 9781118740705Publication Date: 2016-03-29
- Introduction to Stochastic Analysis: integrals and differential equations by Vigirdas Mackevicius 2013ISBN: 9781848213111Publication Date: 2013

- Probability and Statistics for Scientists and Engineers by Rao V. DukkipatiISBN: 9781906574833Publication Date: 2011-02-01
- Probability Concepts and Theory for Engineers by Harry SchwarzlanderISBN: 9780470976470Publication Date: 2010-12-20
- Fundamentals of Applied Probability and Random Processes by Oliver C. IbeISBN: 9780120885084Publication Date: 2005-10-19
- Introductory Statistics and Analytics by Peter C. Bruce 2014ISBN: 9781118881354Publication Date: 2014-12-31
- Probability, Statistics, and Decision for Civil Engineers by Jack R. Benjamin; C. Allin CornellISBN: 9780486780726Publication Date: 2014-07-16
- Fundamentals of Probability and Statistics for Engineers by T. T. SoongISBN: 9780470868157Publication Date: 2004-06-25

- Engineering Statistics HandbookThe goal of this handbook is to help scientists and engineers incorporate statistical methods into their work as efficiently as possible.
- MIT Open Courseware: Probability and Statistics in EngineeringThis class covers quantitative analysis of uncertainty and risk for engineering applications. Includes PDF's of lecture notes and problem sets.
- Online Statistics Education: An Interactive Multimedia Course of StudyOnline Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.
- Introduction to Probability, Statistics and Random Processesby Hossein Pishro-Nik, University of Mass Amherst
- Applied Probability2009 by Paul Pfeiffer, Rice University.

A first course that presumes no previous course in probability. The mathematical prerequisites are ordinary calculus and the elements of matrix algebra. A few standard series and integrals are used, and double integrals are evaluated as iterated integrals. The reader who can evaluate simple integrals can learn quickly from the examples how to deal with the iterated integrals used in the theory of expectation and conditional expectation.

Describes and employs user defined MATLAB procedures and functions (which we refer to as m-programs, or simply programs) to solve many important problems in basic probability. - Introduction to Statistical Thought2013 by Michael Lavine.

Intended as an upper level undergraduate or introductory graduate textbook

in statistical thinking for students with a good knowledge of calculus and the ability to think abstractly. By “statistical thinking” is meant a focus on ideas that statisticians care about as opposed to technical details of how to put those

ideas into practice. The likelihood function and

likelihood principle are unifying ideas throughout the text. Uses of statistical software as a pedagogical tool. Uses computer calculation and

simulation as another way of helping readers understand the underlying concepts.

Software is R. Accompanying manuals are available for free download from http://www.r-project.org - Introductory StatisticsBy Barbara Illowsky, Susan Dean,
- Introduction to Statistics2003 by David Lane, Rice University.

This is a comprehensive text, suitable for an introductory statistics course for non-math majors. It contains twenty-one chapters, covering the wide range of intro stats topics plus case studies and a glossary. - Introduction to Statistics: an Excel-based ApproachBy Valerie Watts
- Basic ProbabilityBy Mike Weimerskirch.
- Basic StatisticsBy sandals29 and Allyn Leon.
- College StatisticsBy Mike LePine.
- Introduction to Probability and StatisticsBy Iain Pardoe.

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Subjects: Mathematics