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[null,"1.","Record Nr.",null,"UNISALENTO991003235369707536"]
[null,null,"Autore",null,"Nelson, Peter R."]
[null,null,"Titolo",null,"Introductory statistics for engineering experimentation [e-book] / Peter R. Nelson, Marie Coffin, Karen A.F. Copeland"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam ; Boston : Academic Press, 2003"]
[null,null,"ISBN",null,"9780125154239"]
[{"$nulls":4},"0125154232"]
[null,null,"Descrizione fisica",null,"xii, 514 p. : ill. ; 23 cm"]
[null,null,"Disciplina",null,"620.00727"]
[null,null,"Soggetti",null,"Engineering - Statistical methods"]
[{"$nulls":4},"Engineering - Experiments"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Risorsa elettronica"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 508-510) and index."]
[null,null,"Nota di contenuto",null,"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"]
[null,null,null,"Sommario/riassunto","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"]