| 000 | 01230nam a2200277 a 4500 | ||
|---|---|---|---|
| 001 | 000013239 | ||
| 005 | 20160221095135.0 | ||
| 008 | 100113s2010 xxud grn 001 0 eng d | ||
| 942 | _c | ||
| 020 | _a9780073376349 (pasta dura) | ||
| 020 | _a0073376345 (pasta dura) | ||
| 040 | _aCO-BrUAC | ||
| 041 | 0 | _aeng | |
| 082 | 0 | 4 |
_221 ed. _a519.5 _bN325a |
| 100 | 1 | _aNavidi, William Cyrus | |
| 245 | 1 | 0 |
_aPrinciples of statistics for engineers and scientists / _cWilliam Navidi. |
| 260 |
_aBoston : _bMcGraw Hill, _c2010. |
||
| 300 |
_a582 p. : _bil., grafs., tablas, etc. |
||
| 504 | _aIncluye referencias bibliográficas, índice, etc. | ||
| 505 | 0 | _aCap. 1. Summarizing univariable data -- 2. Summarizing bivariate data -- 3. Probability -- 4. Commonly used distributions -- 5. Point and interval estimation for a single sample -- 6. Hypothesis tesis for a single sample -- 7. Inferences for two samples -- 8. Inference in linear models -- 9. Factorial experiments -- 10. Statistical quality control. | |
| 544 | 1 | _aDisponible en la Colección General. | |
| 650 | 1 | 4 |
_aEstadística Matemática _xMétodos de Simulación |
| 650 | 1 | 4 | _aProbabilidad |
| 650 | 1 | 4 | _aModelos Lineales (Estadística) |
| 650 | 1 | 4 | _aRegresión Lineal |
| 999 |
_c13164 _d13164 |
||