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Dodge Yadolah


biography

Yadolah Dodge obtained his master in applied Statistics from the Utah State University in 1970 and a Ph.D in Statistics with minor in Biometry from the Oregon State University in 1973. He is currently professor of Statistics and Operations Research at the University of Neuchâtel in Switzerland.

He is a statistical consultant to several industrial companies. His area of expertise includes design and analysis of experiments, regression analysis and mathematical programming. He has numerous published articles and authored or co-authored and edited seventeen books.

Dr Dodge has served on editorial board of Computational Statistics and Data Analysis, and is founder of the statistics Journal Student and Data and Statistics. He is a member of the International Statistical Institute and a fellow of the Royal Statistical Society.

current situation

Honorary Professor From 2003
Director of Postgrade in Statistics From 1989
Head of the Department of Statistics From 1987
Professor of Statistics and Operations Research From 1983

research interest

Computational Statistics
Regression Analysis
Optimization Techniques in Statistics
Design and Analysis of Experiments
Statistical Data Analysis based on L1-Norm

courses taught

Computational Statistics, Regression Analysis, Nonparametric Statistics, Simulation, Linear Algebra, Mathematical Statistics, Elementary Statistics, Linear Models, Data Analysis, Elements of Probability, Linear Programming, Sampling, Calculus, Design and Analysis of Experiments

menber of ...

International Statistical Institute
Bernoulli Society
International Association for Statistical Computing
American Statistical Association
Royal Statistical Society
Institute of Mathematical Statistics
Association pour la Statistique et ses Utilisations
Association Suisse de Statistique

directed Ph. D. dissertations

Valentin Rousson, 1998, Adaptive confidence interval for the mean of non symmetric population
Jean-Pierre Renfer, 1997, Multicolinearity and outliers detection in Linear Regression.
Thiru Santharam, 1997, A study on optimality of NNBBD University of Matras (outside expert)
Sandrine König, 1995, Estimation of the Consumer Price Index variance.
Sylvie Gonano, 1994, Computational and optimality of Minimally Connected Designs.
Nicole Rebetez, 1993, Concepts and Methodology for the development of a system for learning by computer.
Thierry Gafner, 1991, Mathematical programming approach to classification.
Bijan Bidabad, 1989, Discrete and continuous L1 Norm regression.
Dissertations in preparation:
Christophe Beuret, Estimation of world unemployement with missing data
Thierry Murier, On the measure of poverty

directed master dissertations

Elkin Herbert R., 1990, Identification of outliers by regional classification in least absolute values regression
Renfer Jean-Pierre, 1990, Studies on least absolute deviations regression
Ispir Ismail, 1991, A statistical analysis of the federal votations in Switzerland (1950-1987)
Malignon Béatrice, 1991, Positionnement de produits : application de l'analyse en composantes principales et classification hiérarchique
Rebetez Nicole, 199, Consultation interactive des tables statistiques
Lanz Adrian, 1992, Two phase sampling for forest inventory
Müller Martin, 1992, A comparative study of L1-norm based simple and multiple regression algorithms
Alliata Roberta, 1993, Analyse de données portant sur l'évaluation de de la nouvelle méthodologie du français dans le canton de Vaud
Frey Béatrice, 1993, Forecast of unemployment in Switzerland
Pfluger Dominique H., 1993, A mortality study of lung cancer among swiss Chauffeurs Accounting for smoking related fraction by a multivariate approach
Pury Pierre, 1993, Régression Pi ou régression linéaire du produit maximum
Altpeter E.S., 1994, MEASUREMENT ERROR MODELS . An Application in Epidemiology
Rousson Catherine, 1994, Histoire de la production des données statistiques, en Suisse et en Europe
Rousson Valentin, 1994, Axiomatique et Statistique descriptive
Zahnd Edy, 1994, Analyse et prévision de l'évolution de produit intérieur réel en Suisse
Crombez John, 1996, The value of the Blume-indicator
Murier Thierry, 1996, Empirical Evidence of randomness of p decimal digits: an application on the first 200'000'000 digits
Bersier Marc, 1997, L'évolution de la complexité d'un système : Comparaison d'un Indice de complexité sur des Séquences temporelles variées.
Careem Michael, 1997, Stochastic volatility and value at risk
Geiser Gérard, 1997,Une analyse des ventes Tissot
Pastor Elisabeth, 1998, Analyse en composantes principales
Vaucher Steve, 1998, Auto-estimation et mesure du taux d'alcoolémie
Beuret Christophe, 1999, Méthodes Adaptatives Robustes

editorial experience

Associate Editor :
Journal of Computational Statistics and Data Analysis, 1984-1988

Founder and Co-Editor :
Swiss Statistical Newsletter (SSTAT), 1983-1987

Founder and Editor :
Student : (ISSN 1420-1011) International Statistics Journal for Graduate Students, 1995.
Data & Statistics : (ISSN 1420-3308) International statistics journal incorporated in Student, 1996. From 2000 will be a separate journal.

Both Journals are member of Current Index of statistics. They are also described in Encyclopedia of Statistical Sciences, Update Volume 2, Kotz, Read & Banks),John Wiley, 1998.

Guest Editor :
Journal of Computational Statistics and Data Analysis.
Three Special Issues on : Statistical Data Analysis based on the L1-norm and Related Methods, Vol. 5, No. 4, 1987, Vol. 6, No. 3, 1988, Vol. 6, No. 4, 1988

Special Issues Editor : (1988-1992)
Journal of Computational Statistics and Data Analysis.
Two special issues on : Optimal Design and Analysis of Experiments, Vol. 8, No 1, 1989, Vol. 9, No 1, 1990
Two special issues on : Statistical Data Analysis and Inference in Non-standard Settings, Vol. 12, No. 1, 1991, Vol. 12, No. 2, 1991
Two special issues on : Optimization Techniques in statistics, Vol. 14, No 3, 1992, Vol. 14, No 4, 1992

educational contribution

Founder : Master of Science program in Statistics, beginning fall 1989, University of Neuchâtel. This is the first time such a program is established in Switzerland. From 1989 to 1997, 170 students graduated from this program.

development of statistics

Organizer : International conferences
First International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, Neuchâtel, Switzerland, 31 August-4 September 1987. 250 participants from 41 countries.
First International Conference-Workshop on Optimal Design and Analysis of Experiments, Neuchâtel, 25-28 July 1988. 150 participants from 37 countries.
International Conference on Recent Developments in Statistical Data Analysis and Inference. In Honor of C.R.Rao, Neuchâtel, 21-24 August 1989. 300 participants from 47 countries.
Second International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, Neuchâtel, Switzerland, 17-20 August 1992. 70 participants, from 25 countries.
COMPSTAT 92, Neuchâtel, Switzerland, 24-28 August 1992. 430 participants, from 70 countries.
ASU 94, XXVIème Journées de statistique. Association de Statistique et ses Utilisations, 24-27 May, 1994, Neuchâtel, 400 participants.
Third International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods;Neuchatel Switzerland, August 11-15,1997. 200 participants from 40 countries.

books

Arthanari, T.S. and Dodge, Y. (1981). Mathematical Programming in Statistics. John Wiley and Sons, New York.
Arthanari, T.S. and Dodge, Y. (1993). Mathematical Programming in Statistics. Classic edition, John Wiley and Sons, New York.
Dodge, Y. (1985). Analysis of Experiments with Missing Data. John Wiley and Sons, New York.
Dodge, Y. (1987, 1989, 1996). Mathématiques de base pour économistes. Editions EDES puis Presses Académiques, Neuchâtel.
Dodge, Y. (1987). Introduction à la programmation linéaire. Editions EDES, Neuchâtel.
Dodge, Y. (1987). (Editor). Statistical Data Analysis based on the L1-norm and Related Methods, North-Holland, Amsterdam.
Dodge, Y, Fedorov, V.V. and Wynn, H.P. (1988). (Editors) Optimal Design and Analysis of Experiments. North-Holland, Amsterdam.
Dodge, Y. (1989). (Editor) Statistical Data Analysis and Inference. North-Holland, Amsterdam.
Dodge, Y., Mehran, F. et Rousson, M. (1991). Statistique. Presses Académiques, Neuchâtel.
Dodge, Y (1992). (Editor). L1-Statistical Analysis and Related Methods. North-Holland, Amsterdam.
Dodge, Y. and Whittaker, J. (1992) (Editors). Computational Statistics I. Physica Verlag, Heidelberg.
Dodge, Y. and Whittaker, J. (1992) (Editors). Computational Statistics II. Physica Verlag, Heidelberg.
Birkes, D. and Dodge, Y. (1993). Alternative Methods of Regression. John Wiley and Sons, New York.
Dodge, Y. (1993). Statistique : Dictionnaire encyclopédique. Dunod, Paris.
Dodge, Y. (1997). (Editor). L1-Statistical Procedures and Related Topics. IMS Lecture Notes and Monographs Series, Volume 31, Berkley, U.S.
Dodge, Y. (1999). Analyse de régression appliquée. En collaboration avec V. Rousson. Dunod, Paris.
Dodge, Y. (1999). Premiers pas en statistique. Springer-Verlag, Paris.
Dodge, Y. and Jureckovà, J. (2000). Adaptive regression. Springer-Verlag, New York.
Dodge, Y. (2002). Mathématiques de base pour économistes. Springer-Verlag, New York.
Dodge, Y. (2002). (Editor). Statistical Data Analysis based on the L1 norm and related methods. Birkhauser, Basel.
Dodge, Y. (2003). The Oxford Dictionary of Statistical Terms. The Oxford University Press, Oxford.
Dodge, Y. (2004). Statistique, Dictionnaire Encyclopédique. Springer-Verlag, New York.

selected articles

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.
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.
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.
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.
Dodge Y. and Afsarinejad K. (1985). Minimal 2n connected factorial experiments. Computational Statistics and Data Analysis, 3, 147-158.
Dodge, Y. (1986). Classification of minimal connected 23factorial experiments. Computational Statistics and Data Analysis, 4, 147-158.
Dodge, Y. (1986). Some difficulties involving nonparametric 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 L1-norm based on statistical data analysis. Comptational Statistics and Data Analysis, 5, 329-253.
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.
Dodge Y. and Jureckov¨¤ 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.
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.
Dodge Y. and Jureckov¨¤ 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.
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 Jureckova¨¤ J. (1991). Flexible L-Estimation in the linear model. Computational Statistics and Data Analysis, 12, 211-220.
Dodge Y., Antoch J. and Jureckov¨¤ 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 Jureckov¨¤ 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.
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 Jureckov¨¤ 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 ¦Ð, to appear in Journal of Statistical Computation and Simulation, 75

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