Least Square Method for Concave Regression
碩士 === 淡江大學 === 數學學系碩士班 === 98 === Search for a simple, smooth and efficient estimator of a smooth concave regression function is of considerable interest. In this thesis, we describe a least square method for concave regression in which the regression function is modeled by the Bernstein polynomial...
Main Authors: | Kuo-Lung Wang, 王國龍 |
---|---|
Other Authors: | Chi-Chung Wen |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/14849511950359715572 |
Similar Items
-
Bias in least squares regression.
by: Williams, Douglas Harold
Published: (2011) -
Least Square Estimation for Monotone Regression
by: Hsin-Yi Cheng, et al.
Published: (2009) -
ALGORITHMS FOR PARTIAL LEAST SQUARES REGRESSION
by: RAUL PIERRE RENTERIA
Published: (2003) -
Marginal Screening for Partial Least Squares Regression
by: Naifei Zhao, et al.
Published: (2017-01-01) -
Orthogonal least squares regression with tunable kernels
by: Chen, S., et al.
Published: (2005)