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Theory and Methods

Nonparametric Estimation of a Mixing Density via the Kernel Method

Pages 1445-1450 | Received 01 May 1996, Published online: 17 Feb 2012

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Cong Chen, Wayne A. Fuller & F. Jay Breidt. (2003) Spline Estimators of the Density Function of a Variable Measured with Error. Communications in Statistics - Simulation and Computation 32:1, pages 73-86.
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Cong Chen, Wayne A. Fuller & F. Jay Breidt. (2000) A semiparametric estimator of the distribution function of a variable measured with error. Communications in Statistics - Theory and Methods 29:5-6, pages 1293-1310.
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Articles from other publishers (6)

Peter Adamic, Jenna Guse & Cedric Dumais. (2019) Nonparametric modeling of multiple decrements subject to dependent censoring and masking. Model Assisted Statistics and Applications 14:1, pages 19-29.
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Minwoo Chae, Ryan Martin & Stephen G. Walker. (2018) Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution. Statistics & Probability Letters 140, pages 142-146.
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Peter Adamic & Jenna Guse. (2016) LOESS smoothed density estimates for multivariate survival data subject to censoring and masking. Annals of Actuarial Science 10:2, pages 285-302.
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Marianna Pensky. (2016) Solution of linear ill-posed problems using overcomplete dictionaries. The Annals of Statistics 44:4.
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T. Rebafka & F. Roueff. (2015) Nonparametric estimation of the mixing density using polynomials. Mathematical Methods of Statistics 24:3, pages 200-224.
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John Braun, Thierry Duchesne & James E. Stafford. (2005) Local likelihood density estimation for interval censored data. Canadian Journal of Statistics 33:1, pages 39-60.
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