New goodness-of-fit tests based on sample quantiles
MD Esteban, Y Marhuenda, D Morales… - Communications in …, 2007 - Taylor & Francis
MD Esteban, Y Marhuenda, D Morales, A Sanchez
Communications in Statistics—Simulation and Computation®, 2007•Taylor & FrancisIn this article power divergences statistics based on sample quantiles are transformed in
order to introduce new goodness-of-fit tests. Quantiles of the distribution of proposed
statistics are calculated under uniformity, normality, and exponentiality. Several power
comparisons are performed to show that the new tests are generally more powerful than the
original ones.
order to introduce new goodness-of-fit tests. Quantiles of the distribution of proposed
statistics are calculated under uniformity, normality, and exponentiality. Several power
comparisons are performed to show that the new tests are generally more powerful than the
original ones.
In this article power divergences statistics based on sample quantiles are transformed in order to introduce new goodness-of-fit tests. Quantiles of the distribution of proposed statistics are calculated under uniformity, normality, and exponentiality. Several power comparisons are performed to show that the new tests are generally more powerful than the original ones.
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