Introductory Time Series With R

Author: Paul S.P. Cowpertwait
Publisher: Springer Science & Business Media
ISBN: 0387886982
Size: 48.13 MB
Format: PDF, Kindle
View: 7585
Download Read Online
This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation.

Introductory Time Series With R

Author: Paul S.P. Cowpertwait
Publisher: Springer
ISBN: 9780387886978
Size: 67.57 MB
Format: PDF, ePub, Docs
View: 753
Download Read Online
This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation.

Time Series Analysis And Its Applications

Author: Robert H. Shumway
Publisher: Springer Science & Business Media
ISBN: 1441978658
Size: 61.39 MB
Format: PDF, ePub, Mobi
View: 4846
Download Read Online
Also new to this edition is the enhanced use of the freeware statistical package R. In particular, R code is now included in the text for nearly all of the numerical examples.

Time Series Analysis

Author: Jonathan D. Cryer
Publisher: Springer Science & Business Media
ISBN: 0387759581
Size: 21.16 MB
Format: PDF, ePub, Docs
View: 5589
Download Read Online
This book presents an accessible approach to understanding time series models and their applications.

Applied Econometrics With R

Author: Christian Kleiber
Publisher: Springer Science & Business Media
ISBN: 9780387773186
Size: 19.28 MB
Format: PDF, Docs
View: 5966
Download Read Online
This is the first book on applied econometrics using the R system for statistical computing and graphics.

Hidden Markov Models For Time Series

Author: Walter Zucchini
Publisher: CRC Press
ISBN: 1482253844
Size: 20.26 MB
Format: PDF
View: 2494
Download Read Online
The book provides a broad understanding of the models and their uses. After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs.

Introductory Statistics With R

Author: Peter Dalgaard
Publisher: Springer Science & Business Media
ISBN: 0387790543
Size: 31.97 MB
Format: PDF, ePub
View: 1686
Download Read Online
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics.