ISBN: 9780521635066 - statistic distributions engineering (8 Ergebnisse)

paperback. Zustand: Good. Zustand des Schutzumschlags: Includes dust jacket. Some foxing/ tanning to the pages and page edges.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Zustand: Very Good. : Este libro de 1999 presenta distribuciones estadísticas de una sola variable útiles para resolver problemas prácticos en una amplia gama de contextos de ingeniería. Cubre temas como métodos estadísticos, estadística matemática y aplicaciones de ingeniería. Escrito por Karl V. Bury, el libro ofrece una guía completa para ingenieros que buscan aplicar conceptos estadísticos a sus proyectos. EAN: 9780521635066 Tipo: Libros Categoría: Tecnología|Ciencias Título: Statistical Distributions in Engineering Autor: Karl V. Bury Idioma: en Páginas: 362. …

Paperback. Zustand: Near fine. x, 362 p. 25 cm. Figures and tables. Paperback.

Zustand: New. pp. 376 Figures, 66:B&W 7 x 10 in or 254 x 178 mm Perfect Bound on White w/Gloss Lam.

Zustand: New. In English.

Zustand: New. This 1999 book presents single-variable statistical distributions useful in solving practical problems in a wide range of engineering contexts. Num Pages: 376 pages, 52 b/w illus. 5 tables 86 exercises. BIC Classification: TBC; TBJ. Category: (P) Professional & Vocational. Dimension: 253 x 177 x 20. Weight in Grams: 645. . 2008. Illustrated. paperback. . . . . Books ship from the US and Ireland. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 1999 book presents single-variable statistical distributions that are 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. Figures are used extensively to clarify concepts. 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. Intended as both a text and reference, the book assumes an elementary knowledge of calculus and probability. Graduate and advanced undergraduate students, as well as practising engineers and scientists, will be able to use this book to solve practical problems connected with the uncertainty assessment in a wide range of engineering contexts.…