Dear Fellow S+ Users,
Background: I have monthly time series data for a metric over a 15 year
period with variable numbers of monthly observations. I wish to analyse the
spread in these metric values over time but am wary of using a simple
'standard deviation'...
Question: Can anyone please advise of alternative robust measures of
dispersion for a noisy data set with outliers (rather than the default
'standard deviation'). For example, inter-quartile ranges may be a
possibility, but if anyone can advise of other measures that may be of
interest I would be grateful. [I appreciate that the use of some methods
may be dependent on data size: the number of observations at any given time
point may vary from small sample (5 or less) - for which meaningful
statistics may not be possible - up to about 100].
Thanks and kind regards
Paul
[Windows User, S+ 6.2 Professional]
**********************************************************************************
Irish Life Investment Managers Limited is authorised by the Financial Regulator
under Section 10 of the Investment Intermediaries Act, 1995.
While Irish Life Investment Managers uses reasonable efforts to ensure that the
information contained in this email is current, accurate and complete at the
date of publication, no representations or warranties are made (express or
implied) as to the reliability, accuracy or completeness of such information.
Irish Life Investment Managers therefore cannot be held liable for any loss
arising directly or indirectly from the use of, or any action taken in reliance
on, any information contained in this email.
This material is for information only and does not constitute an offer or
recommendation to buy or sell any investment, or subscribe to any investment
management or advisory service. It is intended for the use of institutional and
other professional investors. Past performance is not indicative of future
results. The value of funds we manage may fall as well as rise.
This email and any files transmitted with it are confidential and intended
solely for the use of the individual or entity to whom they are addressed. If
you have received this email in error please notify the system manager. This
footnote also confirms that this email message has been swept for the presence
of computer viruses.
**********************************************************************************
|