Review of the book ,,The analysis and forecasting of time series. Practical introduction on the basis of the R environment" by: A. Zagdanski and A. Suchwałko

Krzysztof Burnecki

Mathematica Applicanda (2016)

  • Volume: 44, Issue: 2
  • ISSN: 1730-2668

Abstract

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This book provides a practical introduction to the R environment variety of modeling data collected at regular intervals. The book is addressed to anyone interested in time series models, and mainly to students and graduates of scientific, economic and technical faculties. 

How to cite

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Krzysztof Burnecki. "Review of the book ,,The analysis and forecasting of time series. Practical introduction on the basis of the R environment" by: A. Zagdanski and A. Suchwałko." Mathematica Applicanda 44.2 (2016): null. <http://eudml.org/doc/292844>.

@article{KrzysztofBurnecki2016,
abstract = {This book provides a practical introduction to the R environment variety of modeling data collected at regular intervals. The book is addressed to anyone interested in time series models, and mainly to students and graduates of scientific, economic and technical faculties. },
author = {Krzysztof Burnecki},
journal = {Mathematica Applicanda},
keywords = {time series models; forecasting; data analysis},
language = {eng},
number = {2},
pages = {null},
title = {Review of the book ,,The analysis and forecasting of time series. Practical introduction on the basis of the R environment" by: A. Zagdanski and A. Suchwałko},
url = {http://eudml.org/doc/292844},
volume = {44},
year = {2016},
}

TY - JOUR
AU - Krzysztof Burnecki
TI - Review of the book ,,The analysis and forecasting of time series. Practical introduction on the basis of the R environment" by: A. Zagdanski and A. Suchwałko
JO - Mathematica Applicanda
PY - 2016
VL - 44
IS - 2
SP - null
AB - This book provides a practical introduction to the R environment variety of modeling data collected at regular intervals. The book is addressed to anyone interested in time series models, and mainly to students and graduates of scientific, economic and technical faculties. 
LA - eng
KW - time series models; forecasting; data analysis
UR - http://eudml.org/doc/292844
ER -

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