Regularities in Sequences of Observations


The objective of this paper is to propose an adjustment to the three methods of calculating the probability that regularities in a sample data represent a systemic influence in the population data. The method proposed is called data profiling. It consists of calculating vertical and horizontal correlation coefficients in a sample data. The two correlation coefficients indicate the internal dynamic or inter dependency among observation points, and thus add new information. This information is incorporated in the already established methods and the consequence of this integration is that one can conclude with certainty that the probability calculated is indeed a valid indication of systemic influence in the population data.

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M. Khoshyaran, "Regularities in Sequences of Observations," Open Journal of Statistics, Vol. 2 No. 4, 2012, pp. 408-414. doi: 10.4236/ojs.2012.24049.

Conflicts of Interest

The authors declare no conflicts of interest.


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