Sheffer Polynomials for Computing Takacs's Goodness-of-Fit Distributions
Niederhausen, Heinrich
Ann. Statist., Tome 11 (1983) no. 1, p. 600-606 / Harvested from Project Euclid
How often does the empirical distribution pass over an acceptance band around the hypothetical distribution function? Sheffer polynomials are applied to derive the exact distribution of this goodness-of-fit distribution and its two-sample analogue. This method leads to new proofs and extensions of Takacs's (1971) results.
Publié le : 1983-06-14
Classification:  Goodness-of-fit,  Sheffer sequences,  distribution of crossings,  62G10,  05A15
@article{1176346165,
     author = {Niederhausen, Heinrich},
     title = {Sheffer Polynomials for Computing Takacs's Goodness-of-Fit Distributions},
     journal = {Ann. Statist.},
     volume = {11},
     number = {1},
     year = {1983},
     pages = { 600-606},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176346165}
}
Niederhausen, Heinrich. Sheffer Polynomials for Computing Takacs's Goodness-of-Fit Distributions. Ann. Statist., Tome 11 (1983) no. 1, pp.  600-606. http://gdmltest.u-ga.fr/item/1176346165/