:: Volume 5, Issue 1 (9-2011) ::
JSS 2011, 5(1): 41-60 Back to browse issues page
Bayesian and Cross Validation Estimation Bandwidth of Kernel Density Function Estimator for Length-biased Data
Masoud Ajami * , Vaheed Fakoor , Sara Jomhoori
Abstract:   (22194 Views)
In sampling, arisen data with probability proportional to its length is called Length-bised. Nonparametric density estimation in length-biased sampling is more difficult than other states. One of the famous estimators in this context is the one introduced by Jones (1991). In this paper, we calculate the bandwidth parameter of this estimator by Bayes'method. The strong consistency of this estimator have been proved with a random Bandwidth. We have compared the performance of Bayes'method with cross validation by using simulation studies.
Keywords: Bandwith, Inverse Gussian, Kernel Density Estimator, Least Squares Cross Validation, Length-Biased Data
Full-Text [PDF 504 kb]   (3758 Downloads)    
Type of Study: Applied | Subject: Applied Statistics
Received: 2012/05/16 | Accepted: 2013/05/14 | Published: 2013/05/14


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Volume 5, Issue 1 (9-2011) Back to browse issues page