TY  - JOUR
A1  - Baringhaus, Ludwig
A1  - Gaigall, Daniel
T1  - Efficiency comparison of the Wilcoxon tests in paired and independent survey samples
JF  - Metrika
N2  - The efficiency concepts of Bahadur and Pitman are used to compare the Wilcoxon tests in paired and independent survey samples. A comparison through the length of corresponding confidence intervals is also done. Simple conditions characterizing the dominance of a procedure are derived. Statistical tests for checking these conditions are suggested and discussed.
KW  - Wilcoxon tests
KW  - Pitman efficiency
KW  - Bahadur efficiency
KW  - Length of confidence intervals
KW  - Kernel density estimator
Y1  - 2018
U6  - http://dx.doi.org/10.1007/s00184-018-0661-4
SN  - 1435-926X
VL  - 2018
IS  - 81
SP  - 891
EP  - 930
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Ditzhaus, Marc
A1  - Gaigall, Daniel
T1  - A consistent goodness-of-fit test for huge dimensional and functional data
JF  - Journal of Nonparametric Statistics
N2  - A nonparametric goodness-of-fit test for random variables with values in a separable Hilbert space is investigated. To verify the null hypothesis that the data come from a specific distribution, an integral type test based on a Cramér-von-Mises statistic is suggested. The convergence in distribution of the test statistic under the null hypothesis is proved and the test's consistency is concluded. Moreover, properties under local alternatives are discussed. Applications are given for data of huge but finite dimension and for functional data in infinite dimensional spaces. A general approach enables the treatment of incomplete data. In simulation studies the test competes with alternative proposals.
KW  - Cramér-von-Mises statistic
KW  - separable Hilbert space
KW  - huge dimensional data
KW  - functional data
Y1  - 2018
U6  - http://dx.doi.org/10.1080/10485252.2018.1486402
SN  - 1029-0311
VL  - 30
IS  - 4
SP  - 834
EP  - 859
PB  - Taylor & Francis
CY  - Abingdon
ER  - 
TY  - JOUR
A1  - Baringhaus, Ludwig
A1  - Gaigall, Daniel
A1  - Thiele, Jan Philipp
T1  - Statistical inference for L²-distances to uniformity
JF  - Computational Statistics
N2  - The paper deals with the asymptotic behaviour of estimators, statistical tests and confidence intervals for L²-distances to uniformity based on the empirical distribution function, the integrated empirical distribution function and the integrated empirical survival function. Approximations of power functions, confidence intervals for the L²-distances and statistical neighbourhood-of-uniformity validation tests are obtained as main applications. The finite sample behaviour of the procedures is illustrated by a simulation study.
KW  - Integrated empirical distribution (survival) function
KW  - Goodness-of-fit tests for uniformity
KW  - Numerical inversion of Laplace transforms
KW  - Coverage probability
KW  - Equivalence test
Y1  - 2018
U6  - http://dx.doi.org/10.1007/s00180-018-0820-0
SN  - 1613-9658
VL  - 2018
IS  - 33
SP  - 1863
EP  - 1896
PB  - Springer
CY  - Berlin
ER  -