Non-parametric estimation of the survivor function for misclassified failure time data Andrew Titman Lancaster University 27 August 2013

First Page		Document Content
Date: 2013-08-23 12:37:44 Statistics Statistical inference Estimation theory Statistical models Signal processing Censoring Survival analysis Nonparametric statistics Mixture model Bootstrapping Likelihood function		Non-parametric estimation of the survivor function for misclassified failure time data Andrew Titman Lancaster University 27 August 2013 Add to Reading List Source URL: www.maths.lancs.ac.uk Download Document from Source Website File Size: 413,92 KB Share Document on Facebook

	Likelihood Function .... Method of Moments ........... DocID: 1vn7a - View Document
	NOISE ROBUST SPEECH RECOGNITION USING GAUSSIAN BASIS FUNCTIONS FOR NON-LINEAR LIKELIHOOD FUNCTION APPROXIMATION Chris Pal½ ¾ , Brendan Frey½ ¾ and Trausti Kristjansson ½ ¾ ½ ¾ DocID: 1uuy9 - View Document
	The shape of the one-dimensional phylogenetic likelihood function DocID: 1u9Og - View Document
	Is Bayes posterior just quick and dirty confidence? D.A.S. Fraser March 9, 2009 Abstract Bayesintroduced the observed likelihood function to statistical inference and provided a weight function to calibrate the p DocID: 1t5Vr - View Document
	On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium Models DocID: 1ryLK - View Document