Cite

Arthanari, A. T., & Dodge, Y. (1981). Mathematical Programming in Statistics. New York: John Wiley, Interscience Division,.Search in Google Scholar

Bertsekas, D. P. (1999). Nonlinear Programming (2nd edition ed.). Belmont, Massachusetts: Athena Scientific.Search in Google Scholar

Bickel, P. J., & Doksum, K. (1977). Mathematical Statistics: Basic Ideas and Selected Topics. San Francisco: Holden-Day.Search in Google Scholar

Cochran, W. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. Retrieved from https://www.wiley.com/en-us/Sampling+Techniques%2C+3rd+Edition-p-9780471162407Search in Google Scholar

Collins, J., & Portnoy, S. (1981). Maximizing the Variance of M-Estimators Using the Generalized Method of Moment Spaces. The Annals of Statistics, 567-577. Retrieved from https://www.jstor.org/stable/2240820?seq=1#page_scan_tab_contents10.1214/aos/1176345460Search in Google Scholar

Dragomirescu, M., & Malița, M. (1972). Programare neliniară. Bucureşti: Ed. Ştiinţifică.Search in Google Scholar

Fedorov, V. (1996). 16 Design of spatial experiments: Model fitting and prediction. Handbook of Statistics, 515-553. Retrieved from https://www.sciencedirect.com/science/article/pii/S016971619613018210.1016/S0169-7161(96)13018-2Search in Google Scholar

Gentle, J. E. (2006). Optimization Methods for Applications in Statistics (Statistics and Computing). nnew York: Springer-Verlag.Search in Google Scholar

Judge, G., & Takayama, T. (1976). Studies in Economic Planning Over Space and Time. Amsterdam: North-Holland Publishing Co.Search in Google Scholar

Lee, T. C., Judge, G. G., & Zellner, A. (1970). Estimating the parameters of the Markov Probability, Model from Aggregate Time Series Data. Amsterdam: Amsterdam, North-Holland Pub. Co.Search in Google Scholar

Lehmann, E. L. (1986). Testing Statistical Hypotheses (Second Edition ed.). New York: Springer-Verlag. doi:10.1007 /978-1-4757-1923-9Search in Google Scholar

Mateia, N. A., & Cechin-Crista, P. (2012). Aspects of multidimensional optimization. Annals of DAAAM for 2012 & Proceedings of the 23rd International DAAAM Symposium, 23(1), 0757 - 0760. Retrieved from https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2012/0757_Mateia&Cechin-Crista.pdf10.2507/23rd.daaam.proceedings.176Search in Google Scholar

Nelder, J. A., & Mead, R. (1965). A Simplex Method for Function Minimization. The Computer Journal, 7(4), 308-313. Retrieved from https://doi.org/10.1093/comjnl/7.4.30810.1093/comjnl/7.4.308Search in Google Scholar

Neuhardt, J. B., & Mount-Campbell, C. A. (1982). Selection of cost-optimal fracţional factorials, Optimization in statistics. TIMS Stud, Manage Sci, 221-2321.Search in Google Scholar

Pearson, H. (1970). Biometrika tables for statistician. Cambridge University Press. Retrieved from https://doi.org/10.1002/bimj.1965007023610.1002/bimj.19650070236Search in Google Scholar

Rao, S. S. (1984). Optimization: Theory and applications. New York: Halsted Press.Search in Google Scholar

Rustagi, J. (1971). Optimizing Methods in Statistics. The symposium on optimizing methods in statistics was held at The Ohio. New York: Academic Press. Retrieved from https://apps.dtic.mil/dtic/tr/fulltext/u2/732971.pdfSearch in Google Scholar

Șerban, R., & Dumitrescu, T. (1998). Metode de optimizare. București: Editura MatrixRom.Search in Google Scholar

Vaduva, I. (1968). On the estimation of non-liniar regression. Bull. Math, 133-139.Search in Google Scholar