Introductory Time Series With R

Author: Paul S.P. Cowpertwait
Publisher: Springer Science & Business Media
ISBN: 0387886982
Size: 17.76 MB
Format: PDF, Mobi
View: 2981
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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: 45.33 MB
Format: PDF, ePub
View: 4196
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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: 52.23 MB
Format: PDF, ePub, Docs
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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: 19.24 MB
Format: PDF
View: 715
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This book presents an accessible approach to understanding time series models and their applications.

Introductory Statistics With R

Author: Peter Dalgaard
Publisher: Springer Science & Business Media
ISBN: 0387790543
Size: 79.66 MB
Format: PDF, Kindle
View: 614
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This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics.

An Introduction To Statistical Learning

Author: Gareth James
Publisher: Springer Science & Business Media
ISBN: 1461471389
Size: 17.40 MB
Format: PDF, ePub, Docs
View: 1698
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This book presents some of the most important modeling and prediction techniques, along with relevant applications.

Hidden Markov Models For Time Series

Author: Walter Zucchini
Publisher: CRC Press
ISBN: 1482253844
Size: 58.14 MB
Format: PDF, Docs
View: 1603
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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.

Multivariate Time Series Analysis

Author: Ruey S. Tsay
Publisher: John Wiley & Sons
ISBN: 1118617754
Size: 73.51 MB
Format: PDF, ePub
View: 1123
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An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential ...