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The essential feature of the techniques is the transformation of the problem from the domain of the input variable to the wavelet domain through an orthogonal discrete wavelet transformation or a multiresolution expansion. We shall see that this greatly simplifies the testing problem into either a wavelet thresholding problem or a linear wavelet regression problem. The size and power performances of the tests are reported and compared to some existing methods. The tests are also applied to data on dose response curves for vascular relaxation in the absence or presence of a nitric oxide inhibitor.<\/jats:p>","DOI":"10.1142\/s0219691309002969","type":"journal-article","created":{"date-parts":[[2009,5,22]],"date-time":"2009-05-22T09:12:52Z","timestamp":1242983572000},"page":"357-373","source":"Crossref","is-referenced-by-count":2,"title":["ON WAVELET METHODS FOR TESTING EQUALITY OF MEAN RESPONSE CURVES"],"prefix":"10.1142","volume":"07","author":[{"given":"PENGFEI","family":"GUO","sequence":"first","affiliation":[{"name":"Department of Mathematics and Statistics, York University, Toronto, ON, Canada, M3J 1P3, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ALWELL JULIUS","family":"OYET","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, Memorial University, St. John's, NL, A1C 5S7, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1142\/S0219691308002355"},{"key":"rf2","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Benjamini Y.","journal-title":"J. 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