Introductory statistics for engineering experimentation [electronic resource]

• 作者： Nelson, Peter R.
• 其他作者：
  • Coffin, Marie.
  • Copeland, Karen A. F.
  • ScienceDirect (Online service)
• 出版： Amsterdam ;Boston : Academic Press
• 主題： Engineering--Statistical methods , Engineering--Experiments , Electronic books.
• ISBN： 9780125154239 (paper) 、 0125154232 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 課程: 統計學(1) ( 管理學院 - 江彥逸)
• 內容註: Includes bibliographical references (p. 508-510) and index. 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.
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• 摘要註: 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.
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