ARTICLES

Dodge, Y. (1972).
Improvement in the statistical analysis for the tolerances of noxious week seeds. Proceedings of Assoc. Off. Seed Anal. 62, 49-57.

Dodge, Y. and Canfield, D. (1972). Application of sequential analysis for testing noxious weed seeds. Proceedings of Assoc. Off. Seed Anal. 62,58-67.

Bhargava, A. and Dodge, Y. (1975).
A morphometric study of human placentae of different gestational ages from normal and triplet pregnancies. National Bureau of Standard, Special publication, 431.

Birkes, D., Dodge, Y. and Seely, J.F. (1976).
Spanning set for estimable contrasts in classification models. Annals of Statistics, 4, 86-107.

Dodge, Y. (1975).
Estimability considerations for n-way classification with missing observations. Bulletin of the ISI, 40 th Session, Warsaw, Book 3, 224-227.

Arthanari, T. S. and Dodge, Y.(1977).
Integration of surveys with prescribed probabilities of selection of samples. Bulletin of the ISI, 41 st Session, New Delhi, Book 4, 21-24.

Dodge, Y. and Shah, K.R. (1977).
Estimation of parameters in Latin and Graeco Latin Square with missing observations. Communications in Statistics. –Theory and Methods, A6 (15), 1465-1472.

Shah, K.R. and Dodge, Y. (1977).
On connectedness of three-way designs. Sankhya, 39 Series B, Pt 3, 284.287.

Dodge, Y. and Shah, K.R. (1977).
On a measure of usefulness for fractionally replicated designs. Bulletin of the ISI, 41 st Session, New Delhi, Book 4, 156-159.

Dodge, Y. and Majumdar, D. (1979).
An algorithm for finding least squares generalized inverses for additive classification with arbitrary pattern. Journal of Statistical Computation and Simulation, 9,1-17.

Dodge, Y. and Thomas, D. (1980).
On the performance of the normal theory and non-parametric multiple comparison procedures. Sankhya, 42, Series B, Pts 1 and 2, 1-17.

Dodge, Y. (1982).
Robust estimation of regression coefficients by minimizing convex combination of L 1 and L 2. COMPSTAT82, Physica-verlarg, Vienna, 81-82.

Dodge, Y. and Lejeune, M. (1983).
Some difficulties involving non-parametric estimation of density functions. Bulletin of ISI., Vol. 2, 889-892.

Dodge, Y. (1983).
Discussion on model selection including robust and entropy based methods. Proceeding of the 44th session, International Statistical Institute, Book 3, Vol. I, 209-213.

Dodge, Y. (1984).
Robust estimation of regression coefficients by minimizing a convex combination of least squares and least absolute deviations. Computational Statistics Quarterly 1, 139-153.

Dodge, Y. and Afsarinejad, K. (1985).
Minimal 2 n connected factorial experiments. Computational Statistics and Data Analysis, 3, 147-158.

Dodge, Y. (1986).
Classification of minimal connected 2 3 factorial experiments. Computational Statistics and Data Analysis, 4, 147-158.

Dodge, Y. (1986).
Some difficulties involving non-parametric estimation of a density function. Journal of Official Statistics, 2, 193-202.

Dodge, Y. (1986).
Mathematical programming in statistics an overview. In : Y. Prohorov and V.V. Sazanov (eds.) Vol. 2, 757-766. Proceedings of the first world congress of Bernoulli Society Conference, Tashkent, USSR.

Birkes, D. and Dodge, Y. (1986).
Number of minimally connected block designs. Computational Statistics and Data Analysis, 4, 269-275.

Dodge, Y. (1987).
An introduction to L 1-norm based on statistical data analysis. Computational Statistics and Data Analysis, 5, 329-253.

Dodge, Y. (1987).
An introduction to statistical data analysis L 1-norm based . In Dodge (ed.) Statistical Data Analysis based on L 1-norm and Related Methods. North-Holland, 1-22.

Dodge, Y. and Jureckovà, J. (1987).
Adaptive combination of least squares and least absolute deviations estimators. In Dodge(ed.) Statistical Data Analysis based on L 1-norm and Related Methods.

Dodge, Y., Fedorov, V.V. and Wynn, H.P. (1988).
Optimal design of experiments: an overview. In Dodge, Y., Fedorov, V.V. and Wynn, H.P. (eds.). Optimal Design and Analysis. North-Holland 1-11.

Dodge, Y. and Jureckovà, J. (1988).
Adaptive combination for M-estimator and L 1-estimator in the linear model. In Dodge, Y., Fedorov, V.V. and Wynn, H.P. (eds.). Optimal Design and Analysis of experiments. North-Holland, 1-12.

Dodge, Y. and Wynn, H.P. (1988).
Loops, the free treatment group and a solution the the connectivity problem for three factor designs. In Dodge, Fedorov and Wynn (eds.). Optimal Design and Analysis of Experiments. North-Holland, 225-236.

Dodge, Y. and Jureckovà, J. (1991).
Flexible L-Estimation in the linear model. Computational Statistics and Data Analysis, 12,211-220.

Dodge, Y., Antoch, J. and Jureckovà, J. (1991).
Computational aspects of adaptive combination of least squares and least absolute deviations estimators: computational aspects. Computational Statistics and Data Analysis, 12, 87-99.

Birkes, D. and Dodge, Y. (1991).
Optimal axb connected designs with a + b observations. Journal of statistical Planning and Inference, 28,49-59.

Dodge, Y. and Hand, D.J. (1991).
What should future statistical sofware look like? Computational Statistics and Data Analysis, 12,369-372.

Dodge, Y. and Rebetez, N. (1991).
Computer Aided dictionary of statistical terms. Bul ISI , Vol. I, 171-172.

Suite

Dodge, Y., Koenig, S., Pfaff, S. and Mehran, F. (1991).
Can the Swiss Consumer Price Index Samples be divided into replicates for variance estimation. Bulletin of the ISI, Vol.1, 173-174.

Dodge, Y. and Rebetez, N. (1992).
A Computer-Aided Dictionary of Statistical Terms. In Faulbaum, F. (ed.).Softstat.91. Gustav Fisher, 515-522.

Dodge, Y. and Jureckovà, J. (1992).
A class of estimators based on adaptive convex combination of two estimation procedures. In Dodge (ed.). L 1-Statistical Analysis and Related Methods. North-Holland, 31-45.

Dodge, Y. and Roenko, N. (1992).
Stability of L 1- Norm Regression under additional observations. Computational Statistics and Data Analysis, 14, 385-390.

Dodge, Y. and Renfer, J.-P. (1993).
Multicolinéarité et données aberrantes en régression linéaire. Bul. ISI . Vol.1, 379-380.

Dodge, Y. and Gafner, T. (1994).
Complexily relaxation of dynamic programming for cluster analysis. 220-228, In: New Applications in Classification and Data Analysis. (E. Diday et al. eds.).

Dodge, Y. and Jureckovà, J. (1995).
Estimation of quantity density function based on regression quantity. Statistics & ProbabilityLetters, 23, 73-78.

Dodge, Y. (1996).
The Guinea Pig of multiple regression. In: H. Rieder (Editor) Robust Statistics, Data Analysis, and Computer Intensive Methods. Springer, Lecture Notes in Statistics 109, 91-118. In honor of Peter J. Huber 60 th birthday.

Ghashghaie, S., Breymann, W., Peinke, J., Talkner, P. and Dodge, Y. (1996).
Turbulent cascades in foreign exchange markets. Nature, 381, 767-770.

Dodge, Y. (1996).
A Natural random number generator. International StatisticalReview, 64, 329-344.

Dodge, Y. and Jureckova, J. (1997).
Adaptive choice of trimming proportion in trimmed least squares. Statistics and Probability letters, 33, 167-176.

Dodge, Y., Hulliger, B. and Rousson, V. (1977).
An example of backing up on representive data by a representative sample. Bul. ISI. 51 st Session, 69-70.

Dodge, Y. (1997).
LAD regression for detection of outliers in response and explanatory variables. Journal of Multivariate Analysis, 61, 144-158.

Dodge, Y. and Rousson, V. (1999).
Testing linearity of regression model. In Applied Stochastic Models and Data Analysis, Quantitative Methods in Business and Industry Society, Bacelar-Nicolau, H. Costa Nicolau, F. and Janssen, J, (eds.) , 57-61.

Dodge, Y. and Lemberger, P. (1999).
A central limit theorem for the Lp – mean of a multvariate sample. In XXXIe Journées de statistique, Grenoble, France, 531-532.

Dodge, Y. (1999).
Statistics in Arts: Artemetrics? Proceeding of the 52nd session, International Statistical Institute, Book 3, Tome LVIII, 83-84.

Dodge, Y. and Rousson, V. (1999).
The cube of the correlation coefficient. Bulletin of the ISI, 52 nd Session, Helsinki, Tome LVIII, 265-266.

Dodge, Y. (1999).
Statistical Publishing at what cost? A personal view.Discussant paper. International Statistical Institute in collaboration with the Polish Central Statistical Office. 85-87.

Dodge, Y. and Hadi, A. (1999).
Simple graphs and bounds for the elements of the hat matrix. Journal of Applied Statistics, 26, 817-823.

Dodge, Y. and Rousson, V. (1999).
Complications of the fourth central moment. The American Statistician, 53, 267-269.

Dodge, Y. and Rousson, V. (1999).
Multivariate L1- mean. Metrika, 49, 127-134.

Dodge, Y. and Rousson, V. (2000).
Direction dependence in a regression line. Communications in Statistics, 29, 1957 -1972.

Dodge, Y. and Whittaker, J. (2000).
The information for the direction of dependence in L1 regression. Communications in Statistics, 29, 1945-1955.

Dodge, Y. and Rousson, V. (2000).
A practitioner’s delimma. Data and Statistics, 3, 219-227.

Dodge, Y., Geiser, G. and Rousson, V. (2000).
Understanding Switzerland through a perfect multivariate data set. Data and Statistics, 3, 292- 302.

Dodge, Y., and Rousson, V. (2001).
On asymmetric properties of the correlation coefficient in the regression setting. The American Statistician , 55, 51-54.

Dodge Y. and Melfi G. (2002).
A more rational ranking system in Olympic Games . Data and Statistics, 4, 149-154.

Dodge Y. and Melfi G. (2002).
On the reliability of random number generators. Proceedings of the ESM Conference, Darmstadt 2002, 142-144.

Dodge Y. and Jureckova J. (2002).
Adaptive combination of tests . Goodness-of-Fit Tests and Model Validity, Birkhauser, 413-424.

Whittaker, J. and Dodge,Y.(2003).
Estimating quantiles within the context of PLSR. PLS and Related Methods, Proc. PLS03, Vilares, M. (Eds). Decisia : France pp. 465-472.

Dodge Y. and Melfi G. (2003).
On the stability of LAD-regression model with p explanatory variables , submitted

Dodge Y. and Melfi G. (2003).
Random number generators and rare events in the continued fraction of π , submitted

Dodge, Y. and Whittaker,J. (2003).
Partial Quantile Regression. Submitted.

Dodge, Y. and Lemberger, P. (2004).
Asymptotic properties of the multivariate Lp-Norm. To appear in Journal of classification.