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Journal of Statistical Computation and Simulation Volume 16, 1983 - Issue 3-4
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Original Articles

Kernel methods for the estimation of discrete distributions

C.G.G. Aitken Department of Statistics, University of Edinburgh, Scotland
Pages 189-200 | Received 16 Jan 1982, Published online: 20 Mar 2007

Citations (15)

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Read on this site (4)

Piotr Kulczycki & Malgorzata Charytanowicz. (2016) An algorithm for conditional multidimensional parameter identification with asymmetric and correlated losses of under- and overestimations. Journal of Statistical Computation and Simulation 86:5, pages 1032-1055.
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Gerhard Tutz. (1990) Smoothed categorical regression based on direct kernel estimates. Journal of Statistical Computation and Simulation 36:2-3, pages 139-156.
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Gerhard Tutz. (1989) On cross-validation for discrete kernel estimates in discrimination. Communications in Statistics - Theory and Methods 18:11, pages 4145-4162.
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D.M. Titterington & A.W. Bowman. (1985) A comparative study of smoothing procedures for ordered categorical data. Journal of Statistical Computation and Simulation 21:3-4, pages 291-312.
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Articles from other publishers (11)

Ben O’Neill. (2022) Smallest covering regions and highest density regions for discrete distributions. Computational Statistics 37:3, pages 1229-1254.
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Obbey Elamin, Len Gill & Martyn Andrews. (2019) Insights from kernel conditional-probability estimates into female labour force participation decision in the UK. Empirical Economics 58:6, pages 2981-3006.
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Chi-Yang Chu, Daniel J. Henderson & Christopher F. Parmeter. (2017) On discrete Epanechnikov kernel functions. Computational Statistics & Data Analysis 116, pages 79-105.
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Faisal Maqbool Zahid & Gerhard Tutz. (2013) Proportional Odds Models with High‐Dimensional Data Structure. International Statistical Review 81:3, pages 388-406.
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Michael D.S. Morris. 2010. Maximum Simulated Likelihood Methods and Applications. Maximum Simulated Likelihood Methods and Applications 165 198 .
A.W.N. Newton, L. Kitto & J.S. Buckleton. (2005) A study of the performance and utility of annealing in forensic glass analysis. Forensic Science International 155:2-3, pages 119-125.
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Jeffrey S. Simonoff & Gerhard Tutz. 2000. Smoothing and Regression. Smoothing and Regression 193 228 .
Kurt D. Bollacker & Joydeep Ghosh. 2000. Soft Computing for Image Processing. Soft Computing for Image Processing 375 400 .
Jeffrey S. Simonoff. (1995) Smoothing categorical data. Journal of Statistical Planning and Inference 47:1-2, pages 41-69.
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Gerhard Tutz. 1991. Multivariate Modelle. Multivariate Modelle 54 88 .
Gerhard Tutz. (2007) Choice of Smoothing Parameters for Direct Kernels in Discrimination. Biometrical Journal 33:5, pages 519-527.
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