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In this paper, we develop tests for positive expectation dependence. The proposed tests are based on weighted Kolmogorov−Smirnov type statistics. These originate from the function valued monotonic dependence function, describing local changes of the strength of the dependence. The resulting procedure is supported by a simple and insightful graphical device. This paper presents asymptotic and simulation results for such tests. We show that an inference relying on -values and wild bootstrap allows to overcome inherent difficulties of this testing problem. Our simulations show that the new tests perform well in finite samples. A Danish fire insurance data set is examined to demonstrate the practical application of the proposed inference methods.
Ćmiel, Bogdan 1 ; Ledwina, Teresa 2
@article{PS_2017__21__536_0, author = {\'Cmiel, Bogdan and Ledwina, Teresa}, title = {Validation of positive expectation dependence}, journal = {ESAIM: Probability and Statistics}, pages = {536--561}, publisher = {EDP-Sciences}, volume = {21}, year = {2017}, doi = {10.1051/ps/2017015}, zbl = {1393.60028}, mrnumber = {3743925}, language = {en}, url = {http://geodesic.mathdoc.fr/articles/10.1051/ps/2017015/} }
TY - JOUR AU - Ćmiel, Bogdan AU - Ledwina, Teresa TI - Validation of positive expectation dependence JO - ESAIM: Probability and Statistics PY - 2017 SP - 536 EP - 561 VL - 21 PB - EDP-Sciences UR - http://geodesic.mathdoc.fr/articles/10.1051/ps/2017015/ DO - 10.1051/ps/2017015 LA - en ID - PS_2017__21__536_0 ER -
Ćmiel, Bogdan; Ledwina, Teresa. Validation of positive expectation dependence. ESAIM: Probability and Statistics, Tome 21 (2017), pp. 536-561. doi: 10.1051/ps/2017015
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