ISE Principles of Statistics for Engineers and Scientists
ISE Principles of Statistics for Engineers and Scientists
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ISE Principles of Statistics for Engineers and Scientists by William Navidi
Available for the first time in McGraw-Hill's Connect! Principles of Statistics for Engineers and Scientists emphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many examples that feature real, contemporary data sets, both to motivate students and to show connections to industry and scientific research. Because statistical analyses are done on computers, the book contains exercises and examples that involve interpreting, as well as generating, computer output. This book may be used effectively with any software package.
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.
| SKU | Nicht verfügbar |
| ISBN 13 | 9781260570731 |
| ISBN 10 | 1260570738 |
| Titel | ISE Principles of Statistics for Engineers and Scientists |
| Autor | William Navidi |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Paperback |
| Verlag | McGraw-Hill Education |
| Erscheinungsjahr | 2020-03-23 |
| Seitenanzahl | 626 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |