m******r
发帖数: 1 | 1 For Inference, Casella & Berger's( 真是经典啊 ) or Kendall's ( hell! )
For Probability, Sidney Resnik's ( 最好有measure theory 垫底 )
For DOE, Mongemery's ( 可能不是最好的， 但是对初学者很有用 ）
For Linear Models, Graybill's
For Time Series Analysis, Box & Jenkins's （ 经典 ）
For Computing ( Enfron's for Bootstrap, Dumpster's paper for EM algorithm,
MCMC is usually everywhere )
以下需要大家继续讨论 ，
Sequential
Multivariate
Categorial
Survivial Analysis
Nonparametric
Bayesian
Finite Mixture Model
Software:
SAS: "Little SAS book" for n | f******a
发帖数: 9 | 2 生物统计相关的：
D.W. Mount, Bioinformatics: Sequence and Genome Analysis, Cold Spring Harbor
Laboratory Press, Cold Spring Harbor, New York, 2000
E.K. Yeargers, R.W. Shonkwiler, and J.V. Herod, An Introduction to the
Mathematics of Biology (with Computer Algebra Models), Birkhauser, Boston,
1996
Warren J. Ewens, Gregory R. Grant, Statistical Methods in Bioinformatics: An
Introduction, Springer -Verlag, 2001 (ISBN: 0387952292)
Pavel A. Pevzner, Computational Molecular Biology: An Algorithmic Approach,
M
【在 m******r 的大作中提到】
: For Inference, Casella & Berger's( 真是经典啊 ) or Kendall's ( hell! )
: For Probability, Sidney Resnik's ( 最好有measure theory 垫底 )
: For DOE, Mongemery's ( 可能不是最好的， 但是对初学者很有用 ）
: For Linear Models, Graybill's
: For Time Series Analysis, Box & Jenkins's （ 经典 ）
: For Computing ( Enfron's for Bootstrap, Dumpster's paper for EM algorithm,
: MCMC is usually everywhere )
: 以下需要大家继续讨论 ，
: Sequential
: Multivariate
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