Posted by **hill0** at March 24, 2017

English | 30 Jun. 2013 | ISBN: 1461473934 | 56 Pages | PDF | 1.62 MB

Mobile devices, such as smart phones, have achieved computing and networking capabilities comparable to traditional personal computers. Their successful consumerization has also become a source of pain for adopting users and organizations. In particular, the widespread presence of information-stealing applications and other types of mobile malware raises substantial security and privacy concerns.

Posted by **tukotikko** at Feb. 28, 2016

2013 | 72 Pages | ISBN: 1461463653 | PDF | 1 MB

Posted by **hill0** at July 8, 2017

English | 20 Apr. 2017 | ISBN: 3319432516 | 642 Pages | PDF | 14.34 MB

This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications. Avoiding a “theorem-proof” format,

Posted by **hill0** at May 27, 2017

English | 31 Aug. 2016 | ISBN: 3319298526 | 425 Pages | PDF | 5.03 MB

This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences.

Posted by **thingska** at March 31, 2017

English | 2017 | ISBN: 3319432516 | 618 Pages | PDF | 12.12 MB

Posted by **Nice_smile)** at Jan. 18, 2017

English | 2009 | ISBN: 0387928693 | 276 Pages | PDF | 3.77 MB

Posted by **BUGSY** at Jan. 11, 2017

English | July 31, 2008 | ISBN: 0387775005 | 372 Pages | PDF | 3 MB

Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors…

Posted by **Nice_smile)** at Sept. 21, 2015

English | Oct. 12, 2007 | ISBN: 0387718869 | 276 Pages | PDF | 4.03 MB

Statistical modeling is a critical tool in scientific research.

Posted by **BUGSY** at Sept. 13, 2015

English | 1999 | ISBN: 1461268206 | 301 Pages | PDF | 9 MB

In establishing a framework for dealing with uncertainties in software engineering, and for using quantitative measures in related decision-making, this text puts into perspective the large body of work having statistical content that is relevant to software engineering. Aimed at computer scientists, software engineers…

Posted by **BUGSY** at Sept. 13, 2015

English | Mar. 14, 1997 | ISBN: 0387975179, 3540975179 | 574 Pages | DJVU | 4 MB

A novel exposition of the analysis of variance and regression. The key feature here is that these tools are viewed in their natural mathematical setting - the geometry of finite dimensions. This is because geometry clarifies the basic statistics and unifies the many aspects of analysing variance and regression.