Posted by **fdts** at Nov. 17, 2015

by Sam Helwany

English | 2007 | ISBN: 0471791075 | 398 pages | PDF | 6.6 MB

Posted by **AlenMiler** at Oct. 15, 2014

Cambridge University Press; 1 edition | May 10, 2010 | English | ISBN: 052176159X | 288 pages | PDF | 5 MB

This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric regression. Numerous examples drawn from the news and current events with an emphasis on health issues illustrate these concepts.

Posted by **interes** at April 22, 2013

English | 2007-03-16 | ISBN: 0471791075 | 398 pages | PDF | 6.6 mb

A simplified approach to applying the Finite Element Method to geotechnical problems.

Predicting soil behavior by constitutive equations that are based on experimental findings and embodied in numerical methods, such as the finite element method, is a significant aspect of soil mechanics.

Posted by **elodar** at Nov. 28, 2011

Wiley | English | 2007-03-16 | ISBN: 0471791075 | 398 pages | PDF | 6.6 mb

Posted by **tot167** at Feb. 9, 2009

Wiley | 2007-03-16 | ISBN: 0471791075 | 400 pages | PDF | 5,95 MB

Posted by **maxxum** at Nov. 5, 2006

Haym Benaroya and Seon Mi Han,

CRC | ISBN 0824723155 | June 24, 2005 | PDF | 10,3 Mb | 760 Pages

Posted by **MoneyRich** at June 4, 2015

English | Apr 12, 2011 | ISBN: 0857292145 | 276 Pages | PDF | 2 MB

Replacement Models with Minimal Repair is a collection of works by several well-known specialists on the subject of minimal repair in replacement policies. It gives an exhaustive list of minimal repair models for the effective planning of minimal repair and maintenance actions.

Posted by **tot167** at April 4, 2011

Sp ri nger | 2011 | ISBN: 0857292145 | 288 pages | PDF | 2,1 MB

Posted by **FenixN** at Nov. 22, 2015

Audio CDs in MP3 / English: MP3, 128 kb/s (2 ch) | Duration: 12:27:47 | ISBN-10: N/A | 2015 | 684 MB

Not so long ago, executives faced with complex problems made decisions based on experience, intuition, and no small measure of luck. But now there’s a better way. In recent decades, mathematics and computer science have perfected formerly top-secret techniques for predicting the best possible outcomes when faced with conflicting options. This field goes by different names—analytics, operations research, linear and nonlinear programming, management science—but its purpose is simple: to apply quantitative methods to help business managers, public servants, investors, scientific researchers, and problem solvers of all kinds make better decisions.

Posted by **naag** at March 8, 2017

English | 2014 | ISBN: 1783289007 | PDF | pages: 173 | 8.3 mb

Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications