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Statistics for Engineers and Scientists ISE - William Navidi

Statistics for Engineers and Scientists ISE

(Autor)

Buch | Softcover
960 Seiten
2023 | 6th edition
McGraw-Hill Education (Verlag)
978-1-266-11583-7 (ISBN)
CHF 102,95 inkl. MwSt
Statistics for Engineers and Scientists stands out for its clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets, to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

The new edition of Statistics for Engineers and Scientists is also available in McGraw Hill Connect, featuring SmartBook 2.0, Adaptive Learning Assignments, and more!

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.

Chapter 1: Sampling and Descriptive Statistics





Chapter 2: Probability





Chapter 3: Propagation of Error





Chapter 4: Commonly Used Distributions





Chapter 5: Confidence Intervals





Chapter 6: Hypothesis Testing





Chapter 7: Correlation and Simple Linear Regression





Chapter 8: Multiple Regression





Chapter 9: Factorial Experiments





Chapter 10: Statistical Quality Control

Erscheinungsdatum
Zusatzinfo 400 Illustrations
Verlagsort OH
Sprache englisch
Maße 185 x 231 mm
Gewicht 1220 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Statistik
Technik
ISBN-10 1-266-11583-8 / 1266115838
ISBN-13 978-1-266-11583-7 / 9781266115837
Zustand Neuware
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