Abstract
There are many series of data which are followed with great interest by business analysts, stockbrokers, politicians and even sports fans. You must have heared of some of them: On the Stock Market there is daily reporting of the share-price index. For the cost of living there is the once-a-month reporting of the latest Retail Price Index. The weather and football results provide a stream of daily, weekly and seasonal figures to chew over. But all too often there is a great deal of over-reaction to the latest figures. People fail to put the numbers in a historical context and ask, ‘Is this value really different, or is it just a freak?’ This chapter will show you ways of exploring time series data with the aid of your microcomputer. This chapter differs from all the previous chapters in one major respect -I will not be asking you to make use of your house price data set. The reason for this is practical-to get a reasonable time series of data on house prices would require a couple of years, and I am sure you don’t want to wait that long before starting on this chapter! So the data here will be examples taken from published data sources.
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© 1986 Macmillan Publishers Limited
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Boyle, C. (1986). Time Series. In: Mastering Statistics with your Microcomputer. Macmillan Master Series. Palgrave, London. https://doi.org/10.1007/978-1-349-18211-4_15
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DOI: https://doi.org/10.1007/978-1-349-18211-4_15
Publisher Name: Palgrave, London
Print ISBN: 978-0-333-39172-3
Online ISBN: 978-1-349-18211-4
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