(d) Plot the aggregated annual series and produce a boxplot that summarises the observed values for each season. Again, label the axes appropriately. Comment on the plots. (e) Decompose the series into trend, seasonal effect, and residuals using an additive model and a multiplicative model. Plot both decomposed series. (f) Which model appears to be better for this series? Explain your choice and produce a plot of the trend with a superimposed seasonal effect for the model of your choice. The axes should be labelled appropriately.
(d) Plot the aggregated annual series and produce a boxplot that summarises the observed values for each season. Again, label the axes appropriately. Comment on the plots. (e) Decompose the series into trend, seasonal effect, and residuals using an additive model and a multiplicative model. Plot both decomposed series. (f) Which model appears to be better for this series? Explain your choice and produce a plot of the trend with a superimposed seasonal effect for the model of your choice. The axes should be labelled appropriately.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
question d e f
Transcribed Image Text:1. Consider the time series data mdeaths available in R.
(a) Use help(mdeaths) to find a description of this series. Include a screenshot of
what you found, and rewrite the description in your own words.
(b) Determine the start, end and frequency of this series. Be sure to interpret
what the output means.
(c) Produce a time plot for this series. Label the axes appropriately. Comment on
the main features of the series.
(d) Plot the aggregated annual series and produce a boxplot that summarises the
observed values for each season. Again, label the axes appropriately. Comment
plots.
on
(e) Decompose the series into trend, seasonal effect, and residuals using an additive
model and a multiplicative model. Plot both decomposed series.
(f) Which model appears to be better for this series? Explain your choice and
produce a plot of the trend with a superimposed seasonal effect for the model
of your choice. The axes should be labelled appropriately.
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