Statistical Analysis of Continuous Data Records

by Ross B. Corotis, (A.M.ASCE), Asst. Prof. of Civ. Engrg.; Northwestern University, Evanston, IL,

Serial Information: Transportation Engineering Journal of ASCE, 1974, Vol. 100, Issue 1, Pg. 195-206

Document Type: Journal Paper

Abstract: Simple stochastic techniques permit efficient utilization of information contained in continuous data records. Statistical parameters are analogous to corresponding random variable quantities, and straightforward procedures yield the number of equivalent independent data values for a given sample record. Evaluation of typical autocovariance functions provides approximate results for a large number of physical phenomena. Simply hypothesis testing techniques follow directly from the procedures presented. Actual subway noise data illustrate application of the techniques.

Subject Headings: Data analysis | Parameters (statistics) | Stochastic processes | Permits | Information management | Subways | Noise pollution |

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