| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA990008320290403321 |
|
|
Autore |
Romano, Santi |
|
|
Titolo |
La teoria dei diritti pubblici subbiettivi / Santi Romano |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Locazione |
|
|
|
|
|
|
Collocazione |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
2. |
Record Nr. |
UNISALENTO991003235369707536 |
|
|
Autore |
Nelson, Peter R. |
|
|
Titolo |
Introductory statistics for engineering experimentation [e-book] / Peter R. Nelson, Marie Coffin, Karen A.F. Copeland |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Amsterdam ; Boston : Academic Press, 2003 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
xii, 514 p. : ill. ; 23 cm |
|
|
|
|
|
|
Altri autori (Persone) |
|
Coffin, Marie.author |
Copeland, Karen A. F. |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Engineering - Statistical methods |
Engineering - Experiments |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Risorsa elettronica |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references (p. 508-510) and index. |
|
|
|
|
|
|
Nota di contenuto |
|
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 |
|
|
|
|
|
|
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 |
|
|
|
|
|
|
|
| |