Books / Statistics

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.