000			02205nam a22004817a 4500
003			AR-HaUTN
005			20240918170920.0
007			ta
008			180221b xxu||||| |||| 00| 0 en d
020			_a0-471-09315-7
040			_aAR-HaUTN _cAR-HaUTN
080			_a519.2:001.8=111
100			_aBox, George E. P. _92930
245			_aStatistics for experimenters _ban introduction to design, data analysis, and model building
250			_a1st? ed.
260			_aNew York _bJohn Wiley _cc. 1978
300			_a653 p. _bcuadros, gráficos
500			_aLa obra está organizada en cuatro partes; 1) Comparing two treatments; 2) Comparing more than two treatments; 3) Measuring the effects of variables; 4) Building models and using them. Problemas: al final de cada parte
500			_aApéndice con tablas e índice alfabético p. 629-653.
505			_t _u<a href="https://biblio-intra.frh.utn.edu.ar/opac-tmpl/bootstrap/indices/5554.pdf" target="_blank">Indice Alfabético </a>
505			_tScience and statistics
505			_tScience and statistics
505			_tUse of external reference distribution to compare two means.
505			_tRandom sampling and the declaration of independence.
505			_tRandomization and blocking with paired comparisons.
505			_tSignificance tests and confidence intervals for means, variances, proportions, and frequences.
505			_tExperiments to compare k treatment means.
505			_tRandomized blocks and two-way factorial designs.
505			_tDesigns with more than one blocking variable.
505			_tEmpirical modeling
505			_tFactorial designs at two levels.
505			_tMore applications of factorial designs
505			_tFractional factorial designs at two levels.
505			_tMore applications of fractional factorial designs.
505			_tSimple modelling with least squares (regression analysis).
505			_tResponse surface methods.
505			_tMechanistic model building.
505			_tStudy of variation.
505			_tModeling dependence : time series.
700			_aHunter, William G. _92931
700			_aHunter, J. Stuart _92932
942			_2udc _cBK
999			_c5554 _d5554