Introductory Time Series With R

Author: Paul S.P. Cowpertwait
Publisher: Springer Science & Business Media
ISBN: 0387886982
Size: 20.47 MB
Format: PDF
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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: 50.98 MB
Format: PDF, Mobi
View: 4494
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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: 55.50 MB
Format: PDF, Kindle
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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: 73.32 MB
Format: PDF, Docs
View: 3124
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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: 24.51 MB
Format: PDF, ePub, Docs
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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.

Data Manipulation With R

Author: Phil Spector
Publisher: Springer Science & Business Media
ISBN: 0387747303
Size: 32.20 MB
Format: PDF, Kindle
View: 2578
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This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data.

Hidden Markov Models For Time Series

Author: Walter Zucchini
Publisher: CRC Press
ISBN: 1482253844
Size: 37.75 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.

An Introduction To Analysis Of Financial Data With R

Author: Ruey S. Tsay
Publisher: John Wiley & Sons
ISBN: 1119013461
Size: 75.69 MB
Format: PDF
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The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.

The R Book

Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 1118448960
Size: 74.13 MB
Format: PDF
View: 4145
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Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf.