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H. Working, “A Random Difference Series for Use in the Analysis of Time Series,” Journal of American Statistical Association Quarterly Publication, Vol. 24, 1934, pp. 11- 24. doi:10.1080/01621459.1934.10502683

has been cited by the following article:

• TITLE: Regularities in Sequences of Observations

  AUTHORS: Mahkame Megan Khoshyaran

  KEYWORDS: Systematic Influence; Theory of Large Samples; Analysis of the Variance Principle; Multiple Regression; Data Profiling; Vertical Correlation Coefficient; Horizontal Correlation Coefficient

  JOURNAL NAME: Open Journal of Statistics, Vol.2 No.4, October 31, 2012

  ABSTRACT: 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.