Numerical Methods and Statistical Techniques Using 'C'
The book has been divided into 14 chapters covering all important aspects starting from high speed computation to Interpolation and Curve Fitting to Numerical Integration and Differentiation and finally focusing on Test of Significance
Computer Based Numerical & Statistical Techniques
Richard A. Tapia and James R. Thompson (1978), Nonparametric Probability Density Estimation. Baltimore: Johns Hopkins University Press. Luke Tierney and Joseph B. Kadane (1986), “Accurate Approximations for Posterior Moments and ...
The contents of this book covers both the introductory topics and the more advanced topics such as partial differential equations. This book is different from many other books in a number of ways.
The volume is also useful for the user of full-scale computer systems in that it describes how the large computer solves numerical and statistical problems. The book is divided into three parts.
Numerical Analysis & Statistical Methods
The book introduces subject techniques to approximate mathematical procedures/solutions of problems that arise in science and engineering.
Mathematics and statistics with the free software SCILAB (http://www-rocq.inria.fr/scilab/)
Genome Res 5:136I150 Lazzeroni LC, Lange K (1997) Markov chains for Monte Carlo tests of genetic equilibrium in multidimensional ... J Comp Biol 16:1195I 1208 Stewart WJ (1994) Introduction to the Numerical Solution of Markov Chains.