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OGCJN / Tail-estimation-for-window-censored-processes

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This paper develops methods to estimate the tail and full distribution of the lengths of the 0-intervals in a continuous time stationary ergodic stochastic process which takes the values 0 and 1 in alternating intervals. The methods are applied to the 100-car study, a big naturalistic driving experiment.

extreme study driving traffic value safety theory generalized-pareto-distribution length-biased-distribution off-road-glance tail-estimation traffic-safety 100-car-naturalistic-driving-study naturalistic
  • Updated Aug 21, 2018
  • Mathematica

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