2017年10月新書通報

發表於 16:42:49 diana

1. Analysis on Gaussian spaces / Yaozhong Hu (University of Kansas, USA).
New Jersey : World Scientific, 2017.
QA312 H8 2017

2. Bayesian evolutionary analysis with BEAST / Alexei J. Drummond, University of Auckland, New Zealand, Remco R. Bouckaert, University of Auckland, New Zealand.
Cambridge, United Kingdom : Cambridge University Press, 2015.
QH83 D78 2015

3. Biased sampling, over-identified parameter problems and beyond/ Jing Qin.
Cham : Springer, 2017.
QA276.6 Q65 2017

4. Biased sampling, over-identified parameter problems and beyond/ Jing Qin.
Cham : Springer, 2017.
QA276.6 Q65 2017

5. Biased sampling, over-identified parameter problems and beyond/ Jing Qin.
Cham : Springer, 2017.
QA276.6 Q65 2017

6. Bioinformatics and computational biology in drug discovery and development / edited by William T. Loging.
Cambridge : Cambridge University Press, 2016.
RS420 B52 2016

7. Computing for biologists : Python programming and principles / Ran Libeskind-Hadas, Eliot Bush.
Cambridge ; New York : Cambridge University Press, 2014. , c2014.
QH324.2 L53 2014

8. Experimental design for laboratory biologists : maximising information and improving reproducibility / Stanley E. Lazic.
Cambridge, United Kingdom : Cambridge University Press, 2016.
QH324 L39 2016

9. Generalized linear models with random effects : unified analysis via H-likelihood / Youngjo Lee, John A. Nelder, Yudi Pawitan.
2nd ed.
Boca Raton : Chapman and Hall/CRC , 2017.
QA279 L43 2017

10. Getting started with R : an introduction for biologists / Andrew P. Beckerman, Dylan Z. Childs, Owen L. Petchey.
Second edition.
Oxford : Oxford University Press, 2017. c2017.
QA76.73.R3 B43 2017

11. Inference, asymptotics, and applications : selected papers of Ib Michael Skovgaard, with introductions by his colleagues / Editors, Nancy Reid, Torben Martinussen.
1st Edition.
New Jersey : World Scientific , 2017.
QA276 S5555 2017

12. Kernel methods and machine learning / S.Y. Kung, Princeton University, New Jersey.
Cambridge ; New York : Cambridge University Press, 2014.
Q325.5 K86 2014

13. Pierre-Simon Laplace, 1749-1827 : a life in exact science / Charles Coulston Gillispie, with the collabration of Robert Fox and Ivor Grattan-Guinness.
1st ed.
New Jersey : Princeton University Press; 1997.
Q143.L36 G55 1997

14. Principles of computational modelling in neuroscience / David Sterratt, Bruce Graham, Andrew Gillies, David Willshaw.
NY : Cambridge University Press ; 2011.
QP357.5 P75 2011

15. Probability and stochastics / by Erhan ??Cinlar.
New York ; London : Springer, c2011.
QA274 C563 2011

16. Protein interaction networks : computational analysis / Aidong Zhang.
NY : Cambridge University Press ; 2009.
QP551.5 Z53 2009

17. Python programming for biology, bioinformatics, and beyond / Tim J. Stevens, Wayne Boucher.
Cambridge, United Kingdom : Cambridge University Press, 2015. c2015.
QH324.2 S727 2015

18. Statistical applications for Chemistry, Manufacturing and Controls (CMC) in the pharmaceutical industry / Richard K. Burdick, David J. LeBlond, Lori B. Pfahler, Jorge Quiroz, Leslie Sidor, Kimberly Vukovinsky, Lanju Zhang.
1st ed. 2017 edition.
New York : Springer ; 2017.
RS57 B87 2017