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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. and Shah L.R. (1977). Estimation of parameters in Latin and Graeco Square
with missing observations. Commun. Statist. -Theor.
Meth, A6 (15), 1465-1472. |
| |
Shah K.R. and Dodge Y. (1977). On connectedness of threeway 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. Bul. ISI, 156-159. |
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Dodge Y. and Majumdar D. (1979). An algorithm for finding least squares generalized
inverses for additive classification with arbitrary pattern.
J. Statist. Comput and Simulation, 9,1-17. |
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Dodge Y. and Thomas D. (1980). On the performance of the normal theory and
nonparametric multiple comparison procedures. Sankhya,
42, Series B, Pts 1 and 2, 1-17. |
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Dodge, Y. (1984). Robust estimation of regression coefficients by
minimizing a convex combination of least squares and least absolute
diveations. Computational Statistics Quarterly 1,
139-153. |
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Dodge Y. and Afsarinejad K. (1985).
Minimal 2n connected factorial
experiments. Computational Statistics and Data Analysis,
3, 147-158. |
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Dodge, Y. (1986). Classification of minimal connected 23factorial
experiments. Computational Statistics and Data Analysis,
4, 147-158. |
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Dodge, Y. (1986). Some difficulties involving nonparametric estimation
of a density function. Journal of Official Statistics,
2, 193-202. |
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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. |
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Birkes D. and Dodge Y. (1986). Number of minimally connected block designs.
Computational Statistics and Data Analysis, 4,
269-275. |
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Dodge, Y. (1987). An introduction to L1-norm based on statistical data
analysis. Comptational Statistics and Data Analysis,
5, 329-253. |
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Dodge, Y. (1987). An introduction to statistical data analysis L1-norm
based . In Dodge (ed.) Statistical Data Analysis based
on L1-norm and Related Methods. North-Holland,
1-22. |
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Dodge Y. and Jureckovà J.
(1987). Adaptive combination of least squares
and least absolute deviations estimators. In Dodge(ed.) Statistical
Data Analysis based on L1-norm and Related Methods. |
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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 Desing and Analysis. North-Holland 1-11. |
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Dodge Y. and Jureckovà J.
(1988). Adaptive combination for M-estimator
and L1-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. |
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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. |
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Dodge Y. and
Jureckovà J. (1991). Flexible
L-Estimation in the linear model. Computational
Statistics and Data Analysis, 12, 211-220. |
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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 Jureckovà J.
(1992). A class of estimators based on
adaptive convex combination of two estimation procedures. In
Dodge (ed.). L1-Statistical Analysis and Related Methods.
North-Holland, 31-45. |
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Dodge Y. and Roenko N. (1992). Stability of L1- Norm Regression under additional
observations. Computational Statistics and Data Analysis,
14, 385-390. |
| |
Dodge Y. and Jureckovà J.
(1995). Estimation of quantity density
function based on regression quantity. Statistics &
Probability Letters, 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. |
| |
Ghashghaie S., Breymann W., Peinke
J., Talkner P. & Dodge Y. (1996).
Turbulent cascades in foreign exchange markets. Nature,
381, 767-770. |
| |
Dodge Y. (1996) A Natural random number generator. International
Statistical Review, 64, 329-344. |
| |
Dodge Y. and Jureckova J. (1997).Adaptive choice of trimming proportion in trimmed
least squares estimation. Statistics and Probability
Letters, 33,167-176. |
| |
Dodge Y. (1997). LAD regression for detection of outliers in response
and explanatory variables. Journal of Mutivariate
Analysis, 61,144-158. |
| |
Dodge Y. and Rousson V. (1998). Multivariate L1-Mean. In Advances in Data Science and
Classification. Rizzi, Vichi, and Bock Edtiors. Springer.
539-546. |
| |
Dodge Y. and Rousson V. (1999). The Complications of the Fourth Central Moment.
The American Statistician, 53, 267-269. |
| |
Dodge Y. and Hadi A. S. (1999). Simple graphs and bounds for the elements of the hat
matrix. Applied Statistics, 26, 817-823. |
| |
Dodge Y. and Rousson V. (1999). Multivariate L1_mean. Metrika, 49, 127-134 |
| |
Dodge Y. and Whittaker J. (2000). The Information for the Direction of Dependence in L1 Regression.
Communications in Statistics, 29, 2-12. |
| |
Dodge Y. and Rousson V. (2000). Direction Dependence in a Regression Line. Communications
in Statistics, 29, 13-28. |
| |
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. |
| |
Dodge Y. and Lemburger P. (2004).Asymptotic Properties of the Multivariate Lp-mean,
Journal of Classification 21, 193-154. |
| |
Dodge Y. and Melfi G. On
the stability of LAD-regression model with p explanatory variables,
submitted |
| |
Dodge Y. and Melfi G. (2005).Random number generators and rare events in the
continued fraction of π, to appear in Journal of
Statistical Computation and Simulation, 75. |
|
Dodge, Y. and Melfi, G. (2005). Random number generators and
rare events in the continued fraction of pi. Journal of Statistical
Computation and Simulation, 75, 3, 189-197. |
|
Dodge Y. and Melfi G. (2007). On the stability of
LAD-regression model with p explanatory variables. Int. J. Statist.
Sci.Volume 6 (Special Issue), 2007, pp 231-238 |
|
Dodge, Y., and Whittaker, J. (2009). Partial Quantile
Regression. Metrika, 70, 1, 35-57. |
|
.Dodge, Y. and Yadegari. I. (2010). On directional
dependency. IMS Collection, Vol. 7, 62-70. |
|
Dodge, Y., and Yadegari, I. (2010). On direction of
dependence. Metrika, 72, 139-150. |
