Posted by **tanas.olesya** at Nov. 28, 2015

English | Dec. 1963 | ISBN: 0471262501 | 695 Pages | PDF | 36 MB

Nowadays, most introductory probability texts fit into one of two categories. On the one hand are more basic ones, full of examples, not presenting much theory, and lacking in mathematical rigor.

Posted by **tanas.olesya** at Sept. 17, 2014

New York: John Wiley & Sons, 1963 | 1963 | English | ASIN: B0037H5XZ0 | 695 pages | PDF | 36 MB

Probability Theory and Statistical Methods for Engineers describes the fundamental concepts and applications of probability and statistics. By bringing together modern probability theory with the more practical applications of statistics, it bridges the gap between theory and practice. Topics such as, for example, Fourier transforms and stochastic processes are presented as a series of methods or recipes which can be applied to specific problems, but for this they need to be well understood.

Posted by **parvathareddyrs** at March 23, 2009

Krieger Pub Co | 12-06-1980 | ISBN: 0898741793 | PDF | 677 pages | 7.3mb

Probability Theory and Statistical Methods for Engineers describes the fundamental concepts and applications of probability and statistics. By bringing together modern probability theory with the more practical applications of statistics, it bridges the gap between theory and practice. Topics such as, for example, Fourier transforms and stochastic processes are presented as a series of methods or recipes which can be applied to specific problems, but for this they need to be well understood.

Posted by **AvaxGenius** at Dec. 16, 2017

English | EPUB | 2017 (2018 Edition) | 367 Pages | ISBN : 3319644092 | 6.82 MB

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.

Posted by **hill0** at Dec. 15, 2017

English | 6 Mar. 2018 | ISBN: 3319644092 | 367 Pages | PDF (True) | 6.85 MB

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.

Posted by **ChrisRedfield** at Dec. 12, 2017

Published: 1992-10-22 | ISBN: 3540533486, 0387533486 | PDF + DJVU | 140 pages | 7.11 MB

Posted by **leonardo78** at Dec. 7, 2017

Language: English | 2003 | ISBN: 0071381562 | 393 pages | PDF | 1,45 MB

A common denominator among most new traders is that, within six months of launching their new pursuit, they are out of money and out of trading. High-Probability Trading softens the impact of this "trader's tuition," detailing a comprehensive program for weathering those perilous first months and becoming a profitable trader.

Posted by **ChrisRedfield** at Dec. 7, 2017

Published: 2016-12-02 | ISBN: 3319433156 | PDF | 256 pages | 5.25 MB

Posted by **ChrisRedfield** at Dec. 6, 2017

Published: 2017-02-19 | ISBN: 9811035059 | PDF | 138 pages | 2.42 MB

Posted by **hill0** at Dec. 1, 2017

English | 21 Feb. 2017 | ISBN: 3319479725 | 280 Pages | EPUB | 7.63 MB

This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications. In this second edition, the text has been reorganized for didactic purposes, new exercises