SEMINAR NOTICE
Statistical Laboratory
Iowa State University
DATE AND TIME: Monday, February 27, 2006, 4:10 p.m.
PLACE: 319 Snedecor
SPEAKER: Mary Meyer, Department of Statistics, University of
Georgia, Athens
TITLE: Inference Using Shape-Restricted Regression Splines
ABSTRACT:
Regression splines are smooth, flexible, and parsimonious nonparametric
function estimators. They are known to be sensitive to the number and
placement of the knots, but if shape assumptions such as monotonicity or
convexity may be imposed, the estimators are more robust to knot choices.
Monotone regression splines were introduced by Ramsay (1988). In this talk
a more numerically efficient computational method is developed, and the method
is extended to convex constraints. Examples of hypothesis testing are
presented, including tests of constant versus increasing regression function,
and linear versus convex regression function.
COFFEE: 3:45 p.m., 104 Snedecor Hall
Jeanette La Grange
Department of Statistics
102 Snedecor
Iowa State University
Ames, IA 50010-1210
515 294-3440 (office)
515 294-4040 (fax)