They use it more in the weather forecast, but it can be tested and consulted with the statisticians, the test can be done with regression analysis. The estimator is not parametric, it is not based on any particular probability distribution. It is an alternative to the least squares parametric regression line (Sen, 1968). Where least squares uses a weighted mean to estimate the slope, Sen uses a median. The method, mentored by Theil and later extended by Sen (1968), is sometimes called the Thiel–Sen estimator. The Sens slope estimator is used to estimate trends in univariate time series. It is quite resistant to outliers, with a breakpoint of .29 (Wilcox, 2001, p.208).
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