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Farid GABTENI
2016
  • Statistical Modelling in GLIM, Oxford.
    AITKIN M. et al.
    Clarendon Press
    1989
  • Statistical Methods in Medical Research (2nd ed), Oxford
    ARMITAGE P. & BERRY G.
    Blackwell
    1987.
  • Optimum Experimental Designs.
    ATKINSON and DONEV
  • Inference and Asymptotics
    BARNDORFF-NIELSEN O.E. and COX D.R.
    Chapman and Hall
    1993.
  • Linear Programming and Network Flows
    BAZARAN M.S., HARVIS J.J. and SHARA'I H.D.
    Wiley
    1988.
  • The New S Language
    BECKER R.A., CHAMBERS J.M. and WILKS A.R.
    Chapman and Hall
    1988.
  • Introduction to Linear Optimization
    BERTSIMAS D. and TSITSIKLIS J.N.
    Athena Scientific
    1997.
  • Time Series Analysis: Forecasting & Control, 3rd Ed.
    BOX G.E.P., JENKINS G.M. & Reinsel G.C.
  • Introduction to Time Series and Forecasting.
    BROCKWELL P.J. & DAVIS R.A.
  • Modern Regression & Applied Time Series.
    CARMONA R.A.
  • Statistical Inference
    CASELLA G. and BERGER R.L.
    Duxbury
    1990
  • Statistical Models in S
    CHAMBERS J.M. and HASTIE T.J. (editors)
    Chapman and Hall
    1992.
  • The Analysis of Time Series: Theory and Practice
    CHATFIELD C.
    Chapman and Hall
    1975.
  • Introduction to Mathematical Statistics
    CLIFFORD P.
    Lecture Notes
    2000.
  • Experimental Design.
    COCHRAN and COX
  • Analysis of Survival Data, London
    COX D.R. & OAKES D.
    Chapman and Hall
    1984.
  • Statistical Models and Theory
    DAVISON A.C.
    Mathematical Institute Notes
    1993.
  • Practical Risk Theory for Actuaries and Insurers
    DAYKIN C.D., Pentikäinen T. and Pesonen E.
    Chapman and Hall
    1993.
  • Probability and Statistics for Engineering and the Sciences, Fifth Edition.
    DEVORE
  • Time Series: A Biostatistical Introduction
    DIGGLE P.J.
    Oxford University Press
    1990.
  • Modern Mathematical Statistics
    DUDEWICZ E.J. & MISHRA S.N.
    Wiley
    1988.
  • An introduction to the bootstrap, New York
    EFRON B. and Tibshirani TIBSHIRANI R.J.
    Chapman and Hall
    1993.
  • A Handbook of Statistical Analyses using S-PLUS
    EVERITT B.
    Chapman and Hall
    1997.
  • Markov chain Monte Carlo: stochastic simulation for Bayesian inference, London
    GAMERMAN D.
    Chapman and Hall
    1997.
  • Statistical Inference
    GARTHWAITE P.H., JOLLIFFE I.T. and JONES B.
    Prentice-Hall
    1995.
  • Random number generation and Monte Carlo methods, New York
    GENTLE J.E.
    Springer
    1998.
  • Aspects of Risk Theory
    GRANDELL J.
    Springer
    1991.
  • Robust Statistics: The Approach based on Influence Functions
    HAMPEL F.R., RONCHETTI E.M., ROUSSEEUW P.J., STAHEL W.A.
    Wiley
    1986.
  • Applied Nonparametric Regression
    HARDLE W.
    Cambridge University Press
    1990.
  • Statistical Inference based on Ranks
    HETTMANSPERGER T.P.
    Wiley
    1984.
  • Robust Nonparametric Statistical Methods
    HETTMANSPERGER T., MCKEAN J.W.
    Arnold
    1998.
  • Design and Analysis of Experiments.
    HINKEL and KEMPTHORNE
  • HYPERLINK Introduction to Mathematical Statistics, 5th edition .
    HOGG Robert V. & CRAIG Allen T.
  • Loss Distributions
    HOGG R.V. and KLUGMANS.A.
    Wiley
    1984.
  • Robust Statistics
    HUBERP.J.
    Wiley
    1981.
  • Statistics for the Behavioral Science.
    JACCARD & BECKER
  • Experiments: Design and Analysis.
    JOHN and QUENOUILLE
  • Statistical Design and Analysis of Experiments.
    JOHN
  • The Statistical Analysis of Failure Time Data, New York
    KALBFLEISCH J.D. & PRENTICE R.L.
    Wiley
    1980.
  • Statistics for Management and Economics.
    KELLER & WARRACK
  • The Basics of S and S-plus
    KRAUSE A., OLSON M.
    Springer
    1997.
  • Principles of Multivariate Analysis: A User's Perspective
    KRZANOWSKI W.J.
    Oxford University Press
    1990.
  • Mathematical and Statistical Methods for Genetic Analysis
    LANGE K.
    Springer
    1997.
  • Numerical Analysis for Statisticians, New York
    LANGE K.
    Springer
    1998.
  • Quality Through Design.
    LOGOTHETIS and WYNN
  • Randomization, bootstrap and Monte Carlo methods in biology, London
    MANLY B.F.J.
    Chapman and Hall
    1998.
  • Multivariate Analysis, London
    MARDIA K.V., KENT J.T. and BIBBY J.M.
    Academic Press
    1979.
  • Response Surface Methodology.
    MAYERS and MONTGOMERY
  • Analysis of Human Genetic Linkage, Baltimore
    OTT J.
    Johns Hopkins University Press
    1999.
  • Principles of Statistical Inference from a Neo-Fisherian Perspective
    PACE L. and SALVAN A.
    World Scientific
    1997.
  • Econometric Models and Economic Forecasts.
    PINDYCK & RUBINFELD
  • Introduction to the Theory of Nonparametric Statistics
    RANDLES R.H., WOLFE D.A.
    Wiley
    1979
  • Mathematical Statistics and Data Analysis
    RICE J.R.
    Wadsworth and Brooks/Cole
    1988.
  • Pattern Recognition and Neural Networks
    RIPLEY B.D.
    Cambridge University Press
    1996.
  • Stochastic Simulation, London
    RIPLEY B.D.
    Wiley
    1987.
  • Monte Carlo statistical methods, New York
    ROBERT C.P. and CASELLA G.
    Springer
    1999
  • Stochastic Processes for Insurance and Finance
    ROLSKI T., SCHMIDLI H., SCHMIDT V. and Teugels TEUGELS J.
    Wiley
    1999.
  • Multivariate Observations, New York
    SEBER G.A.F.
    Wiley
    1984.
  • Statistics in Human Genetics
    SHAM P.
    Arnold
    1997.
  • Smoothing Methods in Statistics. Thomas L.C., Games, Theory and Application, Chichester
    SIMONOFF J.S.
    Wiley
    1984.
  • Modern Applied Statistics with S-PLUS , Third Edition
    VENABLES W.N., and RIPLEY B.D.
    Springer
    1999.
  • Modern Applied Statistics and S-Plus, 2nd ed., New York
    VENABLES W.N. and RIPLEY B.D.
    Springer-Verlag
    1997.
  • Statistical Pattern Recognition
    WEBB A.
    Arnold
    1999.
  • Aspects of Statistical Inference
    WELSH A.H.
    Wiley
    1996
  • Graphical Models in Applied Multivariate Statistics, Chichester
    WHITTAKER J.
    Wiley
    1990.

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