Miller & Freund's Probability and Statistics for Engineers

Johnson, Richard A.

ISBN 10: 0131437453 / ISBN 13: 9780131437456

Edité par Pearson College Div (edition 7), 2004

A propos de cet article

Supplements included. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

N° de réf. du vendeur 0131437453-7-1-116

Détails bibliographiques

• Titre: Miller & Freund's Probability and Statistics for Engineers
• Éditeur: Pearson College Div (edition 7)
• Date de parution: 2004
• Langue: anglais
• ISBN à 10 chiffres: 0131437453
• ISBN à 13 chiffres: 9780131437456
• Reliure: Hardcover
• Édition: 7.
• État de l'article: Fair

A propos de ce titre

Synopsis

For an introductory, one or two semester, sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students.

This example- and exercise-rich exploration of both elementary probability and basic statistics emphasizes engineering and science applications―many using data collected from the author's consulting experience. In later chapters, the text emphasizes designed experiments, especially two-level factorial design.

Biographie de l'auteur

Richard Johnson is the co-author of seven statistics texts and monographs, includingProbability and Statistics for Engineers and Applied Multivariate Statistical Analysis. He was thefounding editor of Statistics and Probability Letters and served as editor for 25 years.Besides many years of experience in teaching all levels of statistics courses at the University of Wisconsin, he has published more than 120 technical papers concentrating in the areas of reliability and life testing, multivariate analysis, large sample theory, and applications to engineering. Johnson has presented talks on his research in 23 foreign counties. He is an elected member of the International Statistical Institute, a Fellow of the American Statistical Association, a Fellow of theInstitute of Mathematical Statistics, and a Fellow of the Royal Statistical Society.