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                                       Details for article 13 of 18 found articles
 
 
  Simulation studies of smoothing parameter estimates and bayesian confidence intervals in bernoulli ss anova models
 
 
Title: Simulation studies of smoothing parameter estimates and bayesian confidence intervals in bernoulli ss anova models
Author: Wang, Yuedong
Wahba, Grace
Chappell, Rick
Gu, Chong
Appeared in: Communications in statistics
Paging: Volume 24 (1995) nr. 4 pages 1037-1059
Year: 1995
Contents: Wahba, Wang, Gu, Klein and Klein (1994b) introduced Smoothing Spline ANalysis of VAriance (SS ANOVA) method for data from exponential families. They used GCV and UBR methods to choose smoothing parameters. They also constructed Bayesian confidence intervals for SS ANOVA estimates. In this paper, we report simulation results concerning the performance of SS ANOVA estimates with smoothing parameters chosen by GCV or UBR method and their Bayesian confidence intervals. We also compare the performace between GCV and UBR
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 13 of 18 found articles
 
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