Engineering Statistics is an applied statistics book suitable for a one-semester course. It is geared especially toward engineers, but may also be suitable for science students. The book takes a very practical approach--it introduces only as much math as is necessary to understand the concepts presented, and teaches more through example than through presentation of theory. The book includes comprehensive coverage of error analysis, a topic which is basic to the analysis of experimental data and of critical importance to engineers, yet is generally not found in other introductory textbooks. The book also emphasizes model-fitting skills. The student version of MINITAB, the most popular statistics software, is packaged with the text. Text examples include output in MINITAB format. Excellent coverage of error analysis (propagation of error). |Topics are introduced using concrete examples rather than abstract math. |Coverage of the graphical method of error bars. |The text provides strong emphasis on model-fitting skills. |The impact of outliers receives good coverage. |Flexible presentation of probability addresses the needs of different courses. Allowing for a mathematically rigorous approach, the major results are derived from axioms, with proofs given for most of them. On the other hand, each result is illustrated with an example or two to promote intuitive understanding. Instructors who prefer a more informal approach may therefore focus on the examples rather than the proofs and skip the optional sections. |An engaging writing style explains difficult concepts clearly. While including the mathematics necessary for clear understanding, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition. |Contemporary, real world data sets are one of the defining features of this text. With a fresh approach to the subject, the author uses contemporary data sets to help motivate students and show direct connection to industry and research. |In line with modern trends, the text includes numerous examples of computer output and contains exercises suitable for solving with computer software. These examples and exercises involve interpreting, as well as generating, computer output. The student edition of MINITAB, the widely used statistical software package, is available bundled with the text. |A separate chapter provides extensive coverage of propagation of error, sometimes called "error analysis" or the "delta method." The coverage is more extensive thatn in most texts, with a flexible format allowing instructors to easily cover selected topics. |The text presents an extensive, self-contained introduction to simulation methods at a level appropriate for introductory students, including the bootstrap and applications to estimating probabilities, estimating bias, computing confidence intervals, and testing hypotheses.
Informacje dodatkowe o Statistics For Engineers & Scientists:
Wydawnictwo: angielskie
Data wydania: b.d
Kategoria: Popularnonaukowe
ISBN:
978-0-07-111723-4
Liczba stron: 0
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