[
Atkinson A.C. (1969): The use of residuals as a concomitant variable. Biometrika 56, 33-–41.10.1093/biomet/56.1.33
]Search in Google Scholar
[
Bartlett M.S. (1938): The approximate recovery of information from replicated field experiments with large blocks. The Journal of Agricultural Science 28, 418—427.10.1017/S0021859600050875
]Search in Google Scholar
[
Bartlett M.S. (1978): Nearest neighbour models in the analysis of field experiments. Journal of the Royal Statistical Society: Series B (Methodological) 40, 147—158.10.1111/j.2517-6161.1978.tb01657.x
]Search in Google Scholar
[
Beale, E. M. L. (1962): Some uses of computers in operational research. Industrielle Organisation 31, 51—52.
]Search in Google Scholar
[
Blyth R.C. (1970): On the Inference and Decision Models of Statistics. The Annals of Mathematical Statistics 41(3), 1034—1058.10.1214/aoms/1177696980
]Search in Google Scholar
[
Cheng C.-S., Li K.-C. (1987). Optimality criteria in survey sampling. Biometrika 74, 337–345.10.1093/biomet/74.2.337
]Search in Google Scholar
[
Cochran W.G. (2011): Sampling techniques; John Wiley & Sons.
]Search in Google Scholar
[
Cox D. (1952): Some recent work on systematic experimental designs. Journal of the Royal Statistical Society: Series B 14, 211—219.10.1111/j.2517-6161.1952.tb00114.x
]Search in Google Scholar
[
Dash P. (2015): Comparison of Some Almost Unbiased Ratio Estimators. Int. Res. J. of Eng. and Tech. (IRJET) 2, 767-–772.
]Search in Google Scholar
[
Deming W.E.(1990): Sample design in business research; John Wiley & Sons.
]Search in Google Scholar
[
Dodge Y.(1987): Statistical data analysis based on the L1-norm and related methods; North-Holland, New York.
]Search in Google Scholar
[
Fedorov V.V. (1972): Theory of optimal experiments; Academic Press, London.
]Search in Google Scholar
[
Fisher R. (1934): Randomisation, and an old enigma of card play. The Mathematical Gazette 18, 294—297.10.2307/3605473
]Search in Google Scholar
[
Kendall M G., Stuart A. (1976): The advanced theory of statistics. Hafner Pub. Co. New York.
]Search in Google Scholar
[
Kish L. (1965): Survey sampling. John Wiley: New York.
]Search in Google Scholar
[
Kish L. (1976): Optima and proxima in linear sample designs. Journal of the Royal Statistical Society: Series A (General) 139, 80—95.10.2307/2344384
]Search in Google Scholar
[
Kitsos C.P. (2002): The simple linear calibration problem as an optimal experimental design. Communications in Statistics-Theory and Methods 31, 1167—1177.10.1081/STA-120004915
]Search in Google Scholar
[
Kitsos C.P. (1999): Calibration. Encyclopedia of Statistical Science, by Kotz, Samuel, Read, Campbell B and Banks, D 3, 62-–65.
]Search in Google Scholar
[
Kitsos C.P., Müller C.H. (1995): Robust linear calibration. Statistics 27, 93—106.10.1080/02331889508802513
]Search in Google Scholar
[
Kitsos C.P. (1986): Design and Inference in Nonlinear Problems. Unpublished PhD Thesis. University of Glasgow.
]Search in Google Scholar
[
Kounias, S. (2016): Jean Papadakis (1903–1997). Proceedings of the 29th Panhellenic Stat. Conference, Thessaloniki and Naousa, 4–7 May 2016, 103—107.
]Search in Google Scholar
[
Kunert J., Martin R.J. (1987): On the optimality of finite Williams II(a) designs. The Annals of Statistics 15, 1604-–1628.10.1214/aos/1176350613
]Search in Google Scholar
[
Neyman J., Pearson E.S. (1928): On the use and interpretation of certain test criteria for purposes of statistical inference. Biometrika 20, 263—294.10.1093/biomet/20A.3-4.263
]Search in Google Scholar
[
Neyman J. (1934): On the two different aspects of the representative method: the method of stratified sampling and the method of purposive selection. J. R. Stat. Soc. 97, 558—625.10.2307/2342192
]Search in Google Scholar
[
Papadakis J.S. (1937): Méthode statistique pour des expériences sur champ. Institute ď Ameliration Plantes a Salonique. (Greece). Bulletin Scientifique 23, 13—29.
]Search in Google Scholar
[
Rao J.N.K., Hartley H.O., Cochran W.G. (1962): A simple procedure of unequal probability sampling without replacement. Journal of the Royal Statistical Society: Series B (Methodological) 24, 482-–491.10.1111/j.2517-6161.1962.tb00475.x
]Search in Google Scholar
[
Reddy V.N. (1974): On a transformed ratio method of estimation. Sankhya C 36, 59—70.
]Search in Google Scholar
[
Searl D.T. (1964): The utilization of a known coefficient of variation in the estimation procedure. Journal of the American Statistical Association 59, 1225—1226.10.1080/01621459.1964.10480765
]Search in Google Scholar
[
Silvey S. (1980): Optimal design. Chapman and Hall.10.1007/978-94-009-5912-5
]Search in Google Scholar
[
Siscodia B., Dwivedi V. (1981): Modified ratio estimator using coefficient of variation of auxiliary variable. Journal-Indian Society of Agricultural Statistics, 13—18.
]Search in Google Scholar
[
Som R.K. (1973): A manual of sampling techniques. Heinemann, London.
]Search in Google Scholar
[
Tarter M.E. (1986): Mean integrated squared error sampling. Journal of the American Statistical Association 81, 234-–242.10.1080/01621459.1986.10478266
]Search in Google Scholar
[
Tin M. (1965): Comparison of some ratio estimators. Journal of the American Statistical Association 60, 294—307.10.1080/01621459.1965.10480792
]Search in Google Scholar
[
Torsney B. (1981): Algorithms for a constrained optimization problem with applications in statistics and optimum design., Ph.D. Thesis, University of Glasgow.
]Search in Google Scholar
[
Valliant R. (1985): Nonlinear prediction theory and the estimation of proportions in a finite population. Journal of the American Statistical Association 80, 631–641.10.1080/01621459.1985.10478163
]Search in Google Scholar
[
Wynn H.P. (1977a): Minimax purposive survey sampling design. Journal of the American Statistical Association 72, 655—657.10.1080/01621459.1977.10480630
]Search in Google Scholar
[
Wynn H.P., In Statistical Decision Theory and Related Topics; by Gupta, S. and Moore, D. (Eds). Academic Press. New York. Elsevier: 1977b, 471—478.10.1016/B978-0-12-307560-4.50030-2
]Search in Google Scholar