This 1999 book presents single-variable statistical distributions useful in solving practical problems in a wide range of engineering contexts.This outstanding text presents single-variable statistical distributions useful in engineering design and analysis. It lists significant properties of these distributions and describes methods for estimating parameters and their standard errors, constructing confidence intervals, testing hypotheses, and plotting data. Each distribution is worked through typical applications. Methods are illustrated by numerous fully worked examples in the form of Mathcad documents that readers can use as templates for their own data, eliminating the need for programming. Students, engineers and applied scientists will use this book to solve practical problems connected with the uncertainty assessment in a wide range of engineering contexts.This outstanding text presents single-variable statistical distributions useful in engineering design and analysis. It lists significant properties of these distributions and describes methods for estimating parameters and their standard errors, constructing confidence intervals, testing hypotheses, and plotting data. Each distribution is worked through typical applications. Methods are illustrated by numerous fully worked examples in the form of Mathcad documents that readers can use as templates for their own data, eliminating the need for programming. Students, engineers and applied scientists will use this book to solve practical problems connected with the uncertainty assessment in a wide range of engineering contexts.Engineers face numerous uncertainties in the design and development of products and processes. To deal with the uncertainties inherent in measured information, they make use of a variety of statistical techniques. This outstanding text presents single-variable statistical distributions that are useful in engineering design and analysis. It lists significant properties of these dislı