Posted by **step778** at Dec. 8, 2017

2008 | pages: 229 | ISBN: 0387773169 | PDF | 1,4 mb

Posted by **ChrisRedfield** at Aug. 13, 2014

Published: 2008-09-30 | ISBN: 0387773169 | PDF | 222 pages | 4 MB

Posted by **hill0** at June 22, 2018

by Dominic Lordy

English | 2018 | ISBN: 1720424608 | 114 Pages | EPUB | 690 KB

Posted by **Underaglassmoon** at June 17, 2018

CRC Press | English | 2018 | ISBN-10: 1498704476 | 304 pages | PDF | 42.75 MB

by Bing Li (Author)

Posted by **AvaxGenius** at June 16, 2018

English | PDF,EPUB | 2018 (2019 Edition) | 289 Pages | ISBN : 3319756672 | 19.33 MB

This book is a comprehensive guide to qualitative comparative analysis (QCA) using R. Using Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena, QCA acts as a bridge between the quantitative and the qualitative traditions. The QCA package for R, created by the author, facilitates QCA within a graphical user interface. This book provides the most current information on the latest version of the QCA package, which combines written commands with a cross-platform interface.

Posted by **AvaxGenius** at June 15, 2018

English | PDF,EPUB | 2018 | 284 Pages | ISBN : 3662573784 | 48.53 MB

This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Since quite recently, SSA is also being used to analyze digital images and other objects that are not necessarily of planar or rectangular form and may contain gaps. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas, most notably those associated with time series and digital images. An effective, comfortable and accessible implementation of SSA is provided by the R-package Rssa, which is available from CRAN and reviewed in this book.

Posted by **AvaxGenius** at June 10, 2018

English | PDF | 2009 | 258 Pages | ISBN : 0387772375 | 4.84 MB

State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms.

Posted by **AvaxGenius** at June 7, 2018

English | PDF,EPUB | 2018 | 682 Pages | ISBN : 3319776452 | 111.24 MB

Sound is almost always around us, anywhere, at any time, reaching our ears and stimulating our brains for better or worse. Sound can be the disturbing noise of a drill, a merry little tune sung by a friend, the song of a bird in the morning or a clap of thunder at night. The science of sound, or acoustics, studies all types of sounds and therefore covers a wide range of scientific disciplines, from pure to applied acoustics. Research dealing with acoustics requires a sound to be recorded, analyzed, manipulated and, possibly, changed. This is particularly, but not exclusively, the case in bioacoustics and ecoacoustics, two life sciences disciplines that attempt to understand and to eavesdrop on the sound produced by animals. Sound analysis and synthesis can be challenging for students, researchers and practitioners who have few skills in mathematics or physics. However, deciphering the structure of a sound can be useful in behavioral and ecological research – and also very amusing.

Posted by **AvaxGenius** at June 7, 2018

English | EPUB | 2015 | 736 Pages | ISBN : 1493926136 | 9.37 MB

The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data.

Posted by **AvaxGenius** at June 7, 2018

English | EPUB | 2014 | 305 Pages | ISBN : 1461486866 | 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 called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications.