Posted by **rotten comics** at Nov. 25, 2016

2004 | ISBN: 1584884509 | English | 432 pages | PDF | 3 MB

Posted by **happy4all** at March 12, 2016

2014 | 518 Pages | ISBN: 1466590734 | PDF | 9 MB

Posted by **roxul** at March 5, 2016

English | ISBN: 1466590734 | 2014 | 518 pages | PDF | 9 MB

Posted by **arundhati** at Aug. 14, 2015

English | ISBN: 1466590734 | 2014 | 518 pages | PDF | 9 MB

Posted by **roxul** at May 1, 2015

English | ISBN: 1466590734 | 2014 | 518 pages | PDF | 9 MB

Posted by **ChrisRedfield** at Aug. 29, 2014

Published: 2004-11-29 | ISBN: 1584884509 | PDF | 432 pages | 3 MB

Posted by **puliraja** at June 18, 2009

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.

Posted by **ksveta6** at Nov. 14, 2015

2015 | ISBN: 3319140922 | English | 393 pages | PDF | 7 MB

Posted by **TimMa** at Sept. 7, 2013

Publisher: Springer | 2007 | ISBN: 0387707840 | English | PDF | 364 pages | 3.15 Mb

The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three sections, this book has been structured to allow students in economics and finance to work their way through a well formulated exploration of this core topic. The first part of this book is devoted to graphical techniques. The second deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The final section contains a wide variety of exercises in applied multivariate data analysis. …

Posted by **naag** at June 24, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 612 MB