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(Useful Readings)
1. Abramowitz, M. and I.A. Stegun. 1970. Handbook of
Mathematical
Functions (with formulas, graphs, mathematical
tables). Dover
Publications, Inc., New York
2. Burnham, K.P. and D.R. Anderson. 1998. Model Selection and
Inference: A Practical Information-theoretic
Approach,
Springer-Verlag.
3. Conte, S.D. and C. de Boor. 1965. Elementry
Numerical
Analysis:
An Algorithmic Approach. McGraw-Hill, Tokyo.
4. Gelman, A., Carlin, J.B., Stern, H.S. and D.B. Rubin. 1995. Bayesian
Data Analysis. Chapman and Hall
5. Linhart, H. and W. Zuchinni. 1986. Model Selection,
John Wiley
6. Pinheiro, J.C. and D.M. Bates. 2000. Mixed-Effects Models
in S and
S-PLUS. Springer, New York.
7. Press, W.H., Flannery, B.P., Teukolsky, S.A.
and W.T. Vetterling.
1988. Numerical Recipes: The Art of Scientific
Computing.
Cambridge University Press, Cambridge.
8. Roff, D.A. Introduction to
Computer-Intensive Methjods of Data
Analysis in
Biology. Cambridge University Press.
9. Venables, W.N. and B.D. Ripley. 2003. Modern Applied
Statistics with
S. Spinger-Verlag.
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(Installing R)
If you don't have R on your computer, visit the R project website, click 'R
binaries', 'windows', 'base', and download the newest *.exe file.
During setup, select components 1+3+5+6 (main, html, pdf, reference).
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