Non-parametric one-sample hypothesis testing via dynamic slicing
Non-parametric one-sample hypothesis testing via dynamic slicing. By mapping sample values to the quantile of null distribution,
ds_1 test whether they follow uniform distribution on [0, 1] via a regularized likelihood-ratio. Its calculated is based on a dynamic programming procedure.
ds_1(y, lambda, alpha)
Vector: quantiles of observations according to null distribution.
Value of dynamic slicing statistic for one-sample test. It is nonnegative. The null hypothesis that observations are from the null distribution is rejected if this statistic is greater than zero, otherwise accept the null hypothesis.
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