Statistics for experimenters an introduction to design, data analysis, and model building
Box, George E. P.
Statistics for experimenters an introduction to design, data analysis, and model building - 1st? ed. - New York John Wiley c. 1978 - 653 p. cuadros, gráficos
La 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 Apéndice con tablas e índice alfabético p. 629-653.
Indice Alfabético Science and statistics Science and statistics Use of external reference distribution to compare two means. Random sampling and the declaration of independence. Randomization and blocking with paired comparisons. Significance tests and confidence intervals for means, variances, proportions, and frequences. Experiments to compare k treatment means. Randomized blocks and two-way factorial designs. Designs with more than one blocking variable. Empirical modeling Factorial designs at two levels. More applications of factorial designs Fractional factorial designs at two levels. More applications of fractional factorial designs. Simple modelling with least squares (regression analysis). Response surface methods. Mechanistic model building. Study of variation. Modeling dependence : time series.
0-471-09315-7
519.2:001.8=111
Statistics for experimenters an introduction to design, data analysis, and model building - 1st? ed. - New York John Wiley c. 1978 - 653 p. cuadros, gráficos
La 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 Apéndice con tablas e índice alfabético p. 629-653.
Indice Alfabético Science and statistics Science and statistics Use of external reference distribution to compare two means. Random sampling and the declaration of independence. Randomization and blocking with paired comparisons. Significance tests and confidence intervals for means, variances, proportions, and frequences. Experiments to compare k treatment means. Randomized blocks and two-way factorial designs. Designs with more than one blocking variable. Empirical modeling Factorial designs at two levels. More applications of factorial designs Fractional factorial designs at two levels. More applications of fractional factorial designs. Simple modelling with least squares (regression analysis). Response surface methods. Mechanistic model building. Study of variation. Modeling dependence : time series.
0-471-09315-7
519.2:001.8=111