Data-driven stabilizations of goodness-of-fit tests

By Fernández-de-Marcos Alberto and García-Portugués Eduardo
Working Paper (2021)

  • Alberto Fernández-de-Marcos

    Universidad Carlos III Madrid

    Spain

Created

August 22, 2022

Last update

September 11, 2022

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Description

- `distributions.zip` contains precomputed quantiles (1e7 Monte Carlo samples) for statistics $D_n$, $W^2_n$, $A^2_n$, $P^{AD}\_{n; p}$, $P^{CvM}\_{n; p}$, and $N_{n; p}$; and hyperspherical $n=500$ approximation of the asymptotic quantiles in `/asymptotic`. This data is necessary to fit a $(n, \alpha, d)$-stabilization model. In addition, `/asymptotic` contains asymptotic quantiles for circular statistics which are needed for the efficiency analysis. - `results.zip` contains the error and time execution results for the $(n, \alpha, d)$-stabilizations proposed in the paper. These results can be replicated without need of downloading them. - `sunspots_results.zip` contains the sunspots births uniformity analysis. These results can also be replicated without need of downloading them.

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