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 **insetes** at Nov. 25, 2016

2012 | 1036 Pages | ISBN: 1439809755 | PDF | 131 MB

Posted by **house23** at Nov. 5, 2016

MP4 | AVC 470kbps | English | 1280x720 | 30fps | 17 hours | AAC stereo 59kbps | 2.68 GB

This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example. You will start by learning how to install and navigate R studio. Learn Data/Object Types and Operations, Importing into R, and Loops and Conditions. you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations. learn the use of R in Statistics, using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees. Learn to create 2-dimensional Univariate and Multi-variate plots.

Posted by **leonardo78** at Oct. 30, 2016

English | 2006-02-17 | ISBN: 1584885394 | 269 pages | PDF | 1,4 mb

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.