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Introduction to Computational Biology
Michael S. Waterman

 

Linear Statistical Inference and its Applications
C.Radhakrishna Rao

 

Statistical Methods in Cancer Research, vol.I
N.E.Breslow, N.E.Day

 


Statistical Methods in Cancer Research, vol.II
N.E.Breslow, N.E.Day

 

Bioinformatics. A Practical Guide...
Andreas D. Baxevanis, B.F. Francis Ouellette

 

Biological Sequence Analysis
R.Durbin, S.Eddy, A.Krogh, G.Mitchison

 


Expert C Programming. Deep C Secrets
Peter Van der Linden

 

Statistics. Making Sense of Data
William F. Stout, Kenneth J. Travers, John Marden

 

Theory and Application of the Linear Model
Franklin A. Graybill

 


Statistical Methods
George W. Snedecor, William G. Cochran

 

The New S Language A Programming Environment for Data Analysis and Graphics
Richard A. Becker, John M. Chambers, Allan R. Wilks

 

Statistical Models Based on Counting Processes
Per K. Andersen, Ornulf Borgan, Richard D. Gill, Niels Keiding

 


Fundamentals of Statistical Exponential Families
Lawrence D. Brown

 

Mathematical Methods of Statistics
Harald Cramer

 

Markov Chains and Stochastic Stability
S.P.Meyn, R.L.Tweedie

 


Linear and Nonlinear Models for the Analysis of Repeated Measurements
Edward F. Vonesh Vernon M.Chinchilli

 

The Elements of Statistical Learning
Trevor Hastie Robert Tibshirani Jerome Friedman

 

Elements of Large-Sample Theory
E.L. Lehmann

 


An Intermediate Course in Probability
Allan Gut

 

Model Selection and Inference
Kenneth P. Burnham David R. Anderson

 

The EM Algorithm and Extensions
Geoffrey J. McLachlan Thriyambakam Krishnan

 


Numerical Analysis Second Edition
Kendall E.Atkinson

 

Bayesian Data Analysis
Andrew Gelman, John B.Carlin, Hal S.Stern, Donald B.Rubin

 






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