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Introductory Statistics for Engineering Experimentation [Hardcover]

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  • Category: Books (Technology & Engineering)
  • Author:  Peter R. Nelson, Karen A.F. Copeland, Marie Coffin
  • Author:  Peter R. Nelson, Karen A.F. Copeland, Marie Coffin
  • ISBN-10:  0125154232
  • ISBN-10:  0125154232
  • ISBN-13:  9780125154239
  • ISBN-13:  9780125154239
  • Publisher:  Academic Press
  • Publisher:  Academic Press
  • Pages:  514
  • Pages:  514
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-2003
  • Pub Date:  01-Jun-2003
  • SKU:  0125154232-11-MPOD
  • SKU:  0125154232-11-MPOD
  • Item ID: 100810531
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Jan 12 to Jan 14
  • Notes: Brand New Book. Order Now.
The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that Students must demonstrate a knowledge of the application of statistics to engineering problems. Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs.

  • Provides the statistical design and analysis of engineering experiments & problems
  • Presents a student-friendly approach through providing statistical models for advanced learning techniques
  • Covers essential and useful statistical methods used by engineers and scientists
Introduction; Summarizing Data; Models for Experiment Outcomes; Models for the Random Error; Inference for a Single Population; Comparing Two Populations; One-Factor Multi-Sample Experiments; Experiments with Two Factors; Multi-Factor Experiments; Inference for Regression Models; Response Surface Methods; Appendices; References.The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that Students must demonstrate a knowledge of the application of statistics to engineering problems. Since most engineering curricula are quite full with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material intlC-
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