Introductory Time Series With R

Author: Paul S.P. Cowpertwait
Publisher: Springer Science & Business Media
ISBN: 0387886982
Size: 12.86 MB
Format: PDF, ePub, Docs
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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: 25.65 MB
Format: PDF, ePub, Mobi
View: 2244
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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: 50.31 MB
Format: PDF, 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: 61.62 MB
Format: PDF, ePub, Docs
View: 5466
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This book presents an accessible approach to understanding time series models and their applications.

Dynamic Linear Models With R

Author: Giovanni Petris
Publisher: Springer Science & Business Media
ISBN: 0387772383
Size: 30.19 MB
Format: PDF
View: 6899
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After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis.

Applied Econometrics With R

Author: Christian Kleiber
Publisher: Springer Science & Business Media
ISBN: 9780387773186
Size: 79.84 MB
Format: PDF
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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: 60.84 MB
Format: PDF, ePub, Mobi
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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.

Introduction To Time Series And Forecasting

Author: Peter J. Brockwell
Publisher: Springer Science & Business Media
ISBN: 1475725264
Size: 23.11 MB
Format: PDF, ePub, Docs
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Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics.

Multivariate Time Series Analysis

Author: Ruey S. Tsay
Publisher: John Wiley & Sons
ISBN: 1118617754
Size: 65.74 MB
Format: PDF
View: 4727
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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 ...