Large Sample Techniques for Statistics by Jiming Jiang English | PDF | 2010 | 611 Pages | ISBN : 1441968261 | 4.6 MB
This book offers a comprehensive guide to large sample techniques in statistics. More importantly, it focuses on thinking skills rather than just what formulae to use; it provides motivations, and intuition, rather than detailed proofs; it begins with very simple techniques, and connects theory and applications in entertaining ways.
A Course in Applied Stochastic Processes By A. Goswami, B. V. Rao English | PDF | 2006 | 226 Pages | ISBN : 8185931690 | 20.86 MB
In terms of pre-requisites, the book does not demand much. Although an exposure to elementary Probability Theory would help, it is by no means es- sential. Chapter 0 is meant to supply the necessary background in Probability. The only real pre-requisite is an exposure to undergraduate Linear Algebra and Calculus, and of course, the necessary motivation. We would like to highlight one interesting feature of the present book.
Introduction to Probability and Statistics for Science, Engineering, and Finance by Walter A. Rosenkrantz English | 2008 | ISBN: 1584888121 | 680 pages | PDF | 4.45 MB
Steven H. Strogatz, "Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry and Engineering, 3rd Edition" English | ISBN: 1032707895, 0367026503 | 2024 | EPUB/PDF | 601 pages | 11 MB/27 MB
Eugene D. Hahn, "Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems" English | 2014 | ISBN: 1118637550 | PDF | pages: 387 | 4,1 mb