Paper 252-28 - 1 - Case Studies in Time Series David A. Dickey, North Carolina State Univ., Raleigh, NC ABSTRACT This paper reviews some basic time series concepts then demonstrates how the basic techniques can be extended and applied to some interesting data sets. INTRODUCTION Data taken over time often exhibit autocorrelation, This is a phenomenon in which positive deviations from a mean are followed by positive and negative by negative or, in the case of negative autocorrelation, positive deviations tend to be followed by negative ones more often than would happen with independent data. While the analysis of autocorrelated data may not be included in every statistics training program, it is certainly becoming more popular and with the development of software to i

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