Springer Briefs in Statistics

Multivariate Analysis with LISREL (Springer Series in Statistics) [Repost]  eBooks & eLearning

Posted by hill0 at March 27, 2018
Multivariate Analysis with LISREL (Springer Series in Statistics) [Repost]

Multivariate Analysis with LISREL (Springer Series in Statistics) by Karl G. Jöreskog
English | 27 Oct. 2016 | ISBN: 3319331523 | 557 Pages | PDF | 19.04 MB

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

Posted by insetes at Jan. 10, 2018
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

Multivariate Analysis with LISREL (Springer Series in Statistics) [Repost]  eBooks & eLearning

Posted by hill0 at Jan. 23, 2018
Multivariate Analysis with LISREL (Springer Series in Statistics) [Repost]

Multivariate Analysis with LISREL (Springer Series in Statistics) by Karl G. Jöreskog
English | 27 Oct. 2016 | ISBN: 3319331523 | 557 Pages | PDF | 19.04 MB

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL,

Bayesian Essentials with R (Springer Texts in Statistics)  eBooks & eLearning

Posted by hill0 at Jan. 19, 2018
Bayesian Essentials with R (Springer Texts in Statistics)

Bayesian Essentials with R (Springer Texts in Statistics) by Jean-Michel Marin
English | 29 Oct. 2013 | ISBN: 1461486866 | 312 Pages | EPUB | 5.34 MB

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package

Essentials of Stochastic Processes: Springer Texts in Statistics, 3rd Edition  eBooks & eLearning

Posted by First1 at Oct. 26, 2017
Essentials of Stochastic Processes: Springer Texts in Statistics, 3rd Edition

Essentials of Stochastic Processes: Springer Texts in Statistics, 3rd Edition by Richard Durrett
English | 2017 | ISBN: 3319456148 | 236 Pages | EPUB | 2.30 MB

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing.

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