Springer Briefs in Statistics

Android Malware (Springer Briefs in Computer Science) [repost]  eBooks & eLearning

Posted by hill0 at March 24, 2017
Android Malware (Springer Briefs in Computer Science) [repost]

Android Malware (Springer Briefs in Computer Science) by Xuxian Jiang
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.

Epigenetic Approaches to Allergy Research (Springer Briefs in Genetics) (Repost)  eBooks & eLearning

Posted by tukotikko at Feb. 28, 2016
Epigenetic Approaches to Allergy Research (Springer Briefs in Genetics) (Repost)

Epigenetic Approaches to Allergy Research (Springer Briefs in Genetics) By Marien Pascual
2013 | 72 Pages | ISBN: 1461463653 | PDF | 1 MB
Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics) [Repost]

Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics) by Jan G. De Gooijer
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,

Introduction to Time Series and Forecasting (Springer Texts in Statistics)  eBooks & eLearning

Posted by hill0 at May 27, 2017
Introduction to Time Series and Forecasting (Springer Texts in Statistics)

Introduction to Time Series and Forecasting (Springer Texts in Statistics) by Peter J. Brockwell
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.
Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)

Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics) by Jan G. De Gooijer
English | 2017 | ISBN: 3319432516 | 618 Pages | PDF | 12.12 MB
Semiparametric and Nonparametric Methods in Econometrics (Springer Series in Statistics)(Repost)

Semiparametric and Nonparametric Methods in Econometrics (Springer Series in Statistics) by Joel L. Horowitz
English | 2009 | ISBN: 0387928693 | 276 Pages | PDF | 3.77 MB
Statistical Learning from a Regression Perspective (Springer Series in Statistics)

Statistical Learning from a Regression Perspective (Springer Series in Statistics) by Richard A. Berk
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…

Information Criteria and Statistical Modeling (Springer Series in Statistics) [Repost]  eBooks & eLearning

Posted by Nice_smile) at Sept. 21, 2015
Information Criteria and Statistical Modeling (Springer Series in Statistics) [Repost]

Information Criteria and Statistical Modeling (Springer Series in Statistics) by Genshiro Kitagawa
English | Oct. 12, 2007 | ISBN: 0387718869 | 276 Pages | PDF | 4.03 MB

Statistical modeling is a critical tool in scientific research.
Statistical Methods in Software Engineering: Reliability and Risk (Springer Series in Statistics) by Nozer D. Singpurwalla

Statistical Methods in Software Engineering: Reliability and Risk (Springer Series in Statistics) by Nozer D. Singpurwalla
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…
Statistical Methods: The Geometric Approach (Springer Texts in Statistics) by David Saville

Statistical Methods: The Geometric Approach (Springer Texts in Statistics) by David Saville
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.