title: A nonparametric estimator of the shift effect for repeated observations.
abstract: In a nonparametric two-sample model for independent observations with repeated measurements, a new point estimator and a new distribution-free confidence interval for the difference in means are introduced. The method is based on some ideas in Hodges and Lehmann (1963, Annals of Mathematical Statistics 34, 598-611). The asymptotic theory in Brunner and Neumann (1983, Biometrical Journal 24, 373-389; 1986; Biometrical Journal 28, 394-402) and the results for small sample sizes in Brunner and Compagnone (1988, Statistical Software Newsletter 14, 36-42) are used. The new estimators are applied to a problem in morphometry.
authors.affiliation: Abteilung Medizinische Statistik, University of Göttingen, Germany.
authors.forename: E
authors.initials: E
authors.lastname: Brunner
mesh_terms: D000818:Animals; D001283:Atrioventricular Node / Q000502:physiology* / Q000503:physiopathology; D002314:Cardioplegic Solutions; D003327:Coronary Disease / Q000503:physiopathology*; D004285:Dogs; D005947:Glucose; D066298:In Vitro Techniques; D008353:Mannitol; D008433:Mathematics; D008929:Mitochondria, Heart / Q000378:metabolism; D015233:Models, Statistical; D015425:Myocardial Reperfusion; D011189:Potassium Chloride; D011343:Procaine; D012107:Research Design
chemical_list: C039984:Bretschneider cardioplegic solution; D002314:Cardioplegic Solutions; D008353:Mannitol; D011343:Procaine; D011189:Potassium Chloride; D005947:Glucose