Hidden Markov Models For Time Series: An Introduction Using R

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition  eBooks & eLearning

Posted by arundhati at Dec. 9, 2016
Hidden Markov Models for Time Series: An Introduction Using R, Second Edition

Walter Zucchini, Iain L. MacDonald, "Hidden Markov Models for Time Series: An Introduction Using R, Second Edition"
2016 | ISBN-10: 1482253836 | 398 pages | PDF | 46 MB

Hidden Markov Models for Time Series: An Introduction Using R [Repost]  eBooks & eLearning

Posted by ChrisRedfield at April 25, 2015
Hidden Markov Models for Time Series: An Introduction Using R [Repost]

Walter Zucchini, Iain L. MacDonald - Hidden Markov Models for Time Series: An Introduction Using R
Published: 2009-04-28 | ISBN: 1584885734 | PDF | 269 pages | 2 MB
Hidden Markov Models for Time Series: An Introduction Using R (Monographs on Statistics and Applied Probability)

Hidden Markov Models for Time Series
Walter Zucchini, Iain L. MacDonald | Chapman & Hall/CRC | 2009-04-28 | ISBN:1584885734 | Pages: 269 | PDF | 5.3MB

This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It presents an accessible overview of HMMs for analyzing time series data, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It explores a variety of applications in animal behavior, finance, epidemiology, climatology, and sociology. The authors discuss how to employ the freely available computing environment R to carry out computations for parameter estimation, model selection and checking, decoding, and forecasting. They provide all of the data sets analyzed in the text online.

Foundations and Applications of Statistics: An Introduction Using R  eBooks & eLearning

Posted by interes at May 30, 2017
Foundations and Applications of Statistics: An Introduction Using R

Foundations and Applications of Statistics: An Introduction Using R (Pure and Applied Undergraduate Texts) by Randall Pruim
English | 2011 | ISBN: 0821852337 | 615 pages | PDF | 7 MB

Statistics: An Introduction Using R (Repost)  eBooks & eLearning

Posted by enmoys at June 11, 2016
Statistics: An Introduction Using R (Repost)

Statistics: An Introduction Using R By Michael J. Crawley
2005 | 342 Pages | ISBN: 0470022981 , 0470022973 | PDF | 3 MB
Hidden Markov Models for Bioinformatics (Computational Biology) by T. Koski [Repost]

Hidden Markov Models for Bioinformatics (Computational Biology) by T. Koski
English | Nov 30, 2001 | ISBN: 1402001363 | 404 Pages | DJVU | 2 MB

The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models…

Fourier Analysis of Time Series: An Introduction, 2nd edition (Repost)  eBooks & eLearning

Posted by nebulae at May 14, 2014
Fourier Analysis of Time Series: An Introduction, 2nd edition (Repost)

Peter Bloomfield, "Fourier Analysis of Time Series: An Introduction, 2nd edition"
English | 2000 | ISBN: 0471889482 | 288 pages | PDF | 3,2 MB

Statistics: An Introduction Using R (Repost)  eBooks & eLearning

Posted by enmoys at April 13, 2014
Statistics: An Introduction Using R (Repost)

Statistics: An Introduction Using R By Michael J. Crawley
2005 | 342 Pages | ISBN: 0470022981 , 0470022973 | PDF | 3 MB
Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling (Repost)

Boris P. Bezruchko, Dmitry A. Smirnov, "Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling"
English | 2010 | ISBN: 3642126006 | 420 pages | PDF | 14 MB

Fourier Analysis of Time Series: An Introduction, 2nd edition (repost)  eBooks & eLearning

Posted by arundhati at Aug. 4, 2013
Fourier Analysis of Time Series: An Introduction, 2nd edition (repost)

Peter Bloomfield, "Fourier Analysis of Time Series: An Introduction, 2nd edition"
2000 | ISBN: 0471889482 | 288 pages | PDF | 3,2 MB