Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Algunas aplicaciones de los criterios de espaciamiento optimo

  • 13 Accesses

This is a preview of subscription content, log in to check access.

Bibliografía

  1. Abramowitz, M., &Stagun, I. A. (editors) (1964):Handbook of mathematical functions. Nat. Bureau of Standards, N. Y.

  2. Aghieser, N. I. (1959):Theory of approximation. Ungar, N. Y.

  3. Antle, C. E. (1962): “The uniqueness of the spacing of observations, etc.”.Ann. Math. Stat., vol. 33, pág. 81).

  4. Box, G. E. P., &Draper, N. R. (1959): “A basis for the selection of a response surface design”.J. A. S. A., vol. 54, No. 287, pág. 622:Jour. Am: Stat. Assoc.

  5. Cuthbert, D., andHeerema, N. (1950): “Designs of experiments for the most precise slope estimations, etc.”.J. A. S. A., vol. 45, pág. 546.

  6. David, H. A., &Arens, B. E. (1959) “Optimal spacing in regression analysis”.Ann. Math.-Stat., vol. 30, pág. 1072.

  7. Elfing, G. (1952): “Optimum allocation in linear regression theory.Ann. Math.-Stat., vol. 23, fig. 233.

  8. Garza, A. De La (1954): “Spacing of Information in Polynominal Regression”.Ann. Math.-Stat., vol. 25.

  9. Gaylor, D. W., andSweeny, H. C. (1965): “Design for optimal prediction in simple linear regression”.J. A. S. A., vol. 60, pág. 205.

  10. Graybill, F. A. (1961):An introduction to linear statistical models. McGraw-Hill Co., N. Y.

  11. Guest, P. G. (1958): “The spacing of observations in polynomial regression”.Ann. Math.-Stat., vol. 29, pág. 296.

  12. Harris, W. A., andHelvig, T. N. (1966): “Applications of the pseudoinverse to modelling”.Techn., vol. 8, No. 2, pág. 351.

  13. Hildebrand, F. B. (1956):Introduction to numerical analysis. McGraw-Hill Co., N. Y.

  14. Hoel, P. G. (1965): “Minimax designs in two dimensional regression”.Ann. Math.-Stat., vol. 36, pág. 1092.

  15. Hoel, P. G. (1936): “A simple solution for optimal Chebyshev regression extrapolation”.Ann. Math.-Stat., vol. 37, pág. 720.

  16. Hoel, P. G., &Levine, A. (1964): “Optimal spacing and weighting in polynomial prediction”.Ann. Math.-Stat., vol. 35, pág. 1553.

  17. Johnston, J. (1965):Econometric methods. McGraw-Hill, N. Y.

  18. Karlin &Studden (1966):Chebyshev System W. Applications in Analysis and Statistics. Intercience, N. Y.

  19. Kempthorne, O. (1952):The design and analysis of experiments. John Wiley, N. Y.

  20. Kiefer, J., &Wolfowitz, J. (1959): “Optimum designs in regression problems”.Ann. Math.-Stat., vol. 30, pág. 271.

  21. Kiefer, J., &Wolfowitz, J. (1965): “Extrapolation designs”.Ann. Math.-Stat., vol. 40, pág. 1627.

  22. Levine, A. (1966): “A Problem in Minimax Variance Polynomial Extrapolation”.Ann. Math.-Stat., vol. 37, pág. 898.

  23. Smith, K. (1918): “On the s. d. of adjusted and interpolated values, etc”.Biometrika, vol. 12, pág. 1.

  24. Wold, H., &Jureen, L. (1953):Demand Analysis. John Wiley, N. Y.

  25. Wold, H., ed. (1964):Econometric Models Building. North Holland.

Download references

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Poch, F.A. Algunas aplicaciones de los criterios de espaciamiento optimo. Trab. Estad. Invest. Oper. 19, 3–49 (1968). https://doi.org/10.1007/BF03019445

Download citation