000 | 01279nam a2200289 a 4500 | ||
---|---|---|---|
999 |
_c10851 _d10851 |
||
003 | AR-sfUTN | ||
008 | 170717s1991 nyu||||| |||| 00| 0 eng d | ||
020 | _a0070366985 | ||
040 | _cAR-sfUTN | ||
041 | _aeng | ||
080 |
_a004.94 L41 _22000 |
||
100 | 1 |
_aLaw, Averill M. _94654 |
|
245 | 1 | 0 |
_aSimulation modeling and analysis / _cAverill M. Law, David W. Kelton. |
250 | _a2da. | ||
260 |
_aNew York : _bMcGraw-Hill, _c1991 |
||
300 | _a759 p. | ||
336 |
_2rdacontent _atexto _btxt |
||
337 |
_2rdamedia _asin mediaciĆ³n _bn |
||
338 |
_2rdacarrier _avolumen _bnc |
||
490 | _aMcGraw-Hill Series In Industrial Engineering And Management Science | ||
505 | 8 | 0 | _aCONTENIDO Basic simulation modeling Modeling complex systems Simulation software Review of basic probability and statistics Building valid and credible simulation models Selecting input probability distributions Random-number generators Generating random variates Output data analysis for a single systems Comparing alternative system configurations Variance-reduction techniques Experimental design and optimization Simulation of manufacturing systems |
650 | _aSIMULACION | ||
700 | 1 | _aKelton, David W. | |
942 |
_cBK _2udc |