Statistics for Engineers and Scientists

2 ed
ISBN: 978-0-07-330949-1
Verlag: McGraw-Hill Education - Europe

Buch, Englisch, 675 Seiten, Format (B × H): 196 mm x 239 mm, Gewicht: 1504 g

Real World Data Sets with new problems along with ARIS, McGraw-Hill's Homework Management System, define what this second edition has to offer. Within ARIS, Navidi offers 300 algorithmic practice problems along with Java applets that allow students to interactively explore ideas in the text. Customizable PowerPoint lecture notes for each chapter are available as well, along with suggested syllabi, and other features. More information can be found at aris.mhhe.com.This new edition includes more than 200 new exercises, a new section on point estimation on histograms, and provides discussion of Chebyshev’s inequality.

Autoren/Hrsg.

Navidi, William

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

1 Sampling and Descriptive Statistics2 Probability3 Propagation of Error4 Commonly Used Distributions5 Confidence Intervals6 Hypothesis Testing7 Correlation and Simple Linear Regression8 Multiple Regression9 Factorial Experiments10 Statistical Quality Control A Tables B Partial Derivatives C Suggestions for Further Reading Answers to Selected Exercises Index

Über Autor(innen)

Navidi, William
William Navidi received a B.A. in mathematics from New College, an M.A in mathematics from Michigan State University, and a Ph.D. in statistics from the University of California at Berkeley. Dr. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado. He began his teaching career at the County College of Morris in Dover, New Jersey. He has taught mathematics and statistics at all levels, from developmental through the graduate level. Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and has authored more than 50 research papers, both in statistical theory and in a wide variety of applications, including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.