The data is not seasonally adjusted, and may exhibit “day of the week” seasonality. The first three columns of the file contain the Week indicator, Day in Week indicator, and calendar date respectively.
economics
Description
ASSESMENT B FORM
This
assessment requires that you extract the appropriate data from the csv file:
Admissions.csv
The file contains FOUR columns
headed Week, Day in Week, Date and Daily
respectively.
The last column, Daily, contains the time series itself.
The data are daily admissions to hospital in the UK of
Covid-19 patients. The data run from March 3, 2020 to November 26, 2020.
The data is not seasonally adjusted,
and may exhibit “day of the week” seasonality.
The first three columns of the file contain the Week indicator, Day in
Week indicator, and calendar date respectively.
The
data you will be working work with is the period relating to the second wave of
the pandemic in the UK.
·
You have to complete the steps in part A of
the assessment. This requires you to fit
three models to time series data,
produce forecasts, accuracy measures and
other statistics as instructed.
·
All numerical answers should usually be
reported to 3 decimal places.
Small numbers should be in exponential
form (e.g. 1.13e-5 for 0.0000113)
1.
This assessment must be completed using the R functions solely
available in the libraries: forecast, AER, their dependencies, and the base distribution.
2.
No other libraries are needed, and no others
are allowed for the analysis, however, other libraries for data input and
presentation are permitted.
3.
Some questions may recommend the function to
be used. Details of function use can be found using the R help system, and
elsewhere.
·
Please retain the font sizes in the
tables to ensure they remain on the
page.
- Mark Scheme: Qs 1-4,6 are out of 10, Qs 5,8,9 out of 12, Q7 out of
14.
- No graphical output is required. Please do not include any graphs in
part B.
- Parts B and C must contain text only. No pictures or screenshots.
