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Original Articles

Minimum distance estimation:a bibliography

Pages 1205-1224 | Received 01 Jun 1980, Published online: 27 Jun 2007

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Xun Xiao, Amitava Mukherjee & Min Xie. (2016) Estimation procedures for grouped data – a comparative study. Journal of Applied Statistics 43:11, pages 2110-2130.
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D.M. Sakate & D.N. Kashid. (2014) Variable selection via penalized minimum φ-divergence estimation in logistic regression. Journal of Applied Statistics 41:6, pages 1233-1246.
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Wafaa Benyelles & Tahar Mourid. (2012) On a minimum distance estimate of the period in functional autoregressive processes. Journal of Applied Statistics 39:8, pages 1703-1718.
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A. Felipe & L. Pardo. (2007) New family of estimators for the loglinear model of quasi-independence based on power-divergence measures. Journal of Statistical Computation and Simulation 77:5, pages 407-420.
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Agostino Tarsitano. (2005) Estimation of the Generalized Lambda Distribution Parameters for Grouped Data. Communications in Statistics - Theory and Methods 34:8, pages 1689-1709.
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Leandro Pardo & María Del Carmen Pardo. (2003) Minimum power-divergence estimator in three-way contingency tables. Journal of Statistical Computation and Simulation 73:11, pages 819-831.
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M. C. Pardo. (1999) Estimation of parameters for a mixture of normal distributions on the basis of the cressie and read divergence. Communications in Statistics - Simulation and Computation 28:1, pages 115-130.
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Ying Yang. (1998) Asymptotics of minimum distance estimator in linear regression models under strong mixing. Communications in Statistics - Theory and Methods 27:7, pages 1619-1637.
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Michael W. Trosset & Barbara N. Sands. (1995) On the choice of a discrepancy functional for model selection. Communications in Statistics - Theory and Methods 24:11, pages 2841-2863.
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Dennis J. Charek, Albert H. Moore & Joseph W. Coleman. (1988) A comparison of estimation techniques for the three parameter pareto distribution. Communications in Statistics - Simulation and Computation 17:4, pages 1395-1407.
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DouglasG. Simpson. (1987) Minimum Hellinger Distance Estimation for the Analysis of Count Data. Journal of the American Statistical Association 82:399, pages 802-807.
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C.D. Elphinstone. (1983) A target distribution model for nonparametric density estimation. Communications in Statistics - Theory and Methods 12:2, pages 161-198.
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Dennis D Boos. (1982) Minimum anderson-darling estimation. Communications in Statistics - Theory and Methods 11:24, pages 2747-2774.
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Articles from other publishers (30)

Maciej Klimas & Dariusz Grabowski. (2023) Application of long short-term memory neural networks for electric arc furnace modeling. Applied Soft Computing 145, pages 110574.
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Akrivi Chatzidaki & Dimitrios Vamvatsikos. (2021) Mixed probabilistic seismic demand models for fragility assessment. Bulletin of Earthquake Engineering 19:15, pages 6397-6421.
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Steffen Betsch, Bruno Ebner & Bernhard Klar. (2020) Minimum L q ‐distance estimators for non‐normalized parametric models . Canadian Journal of Statistics 49:2, pages 514-548.
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DESISLAVA CHETALOVA, THILO A. SCHMITT, RUDI SCHÄFER & THOMAS GUHR. (2015) PORTFOLIO RETURN DISTRIBUTIONS: SAMPLE STATISTICS WITH STOCHASTIC CORRELATIONS. International Journal of Theoretical and Applied Finance 18:02, pages 1550012.
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Tomáš Hobza, Domingo Morales & Leandro Pardo. (2013) Divergence-based tests of homogeneity for spatial data. Statistical Papers 55:4, pages 1059-1077.
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Leandro Pardo. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Jana Jureckova, Pranab Sen & Jan Picek. 2012. Methodology in Robust and Nonparametric Statistics. Methodology in Robust and Nonparametric Statistics 282 329 .
Ayanendranath Basu, Hiroyuki Shioya & Chanseok Park. 2011. Statistical Inference. Statistical Inference 347 358 .
Tingting Zhan, Inna Chevoneva & Boris Iglewicz. (2011) Generalized weighted likelihood density estimators with application to finite mixture of exponential family distributions. Computational Statistics & Data Analysis 55:1, pages 457-465.
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D. Ferger. (2010) Minimum distance estimation in normed linear spaces with Donsker-classes. Mathematical Methods of Statistics 19:3, pages 246-266.
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Jinwen Ma, Jianfeng Liu & Zhijie Ren. (2009) Parameter estimation of Poisson mixture with automated model selection through BYY harmony learning. Pattern Recognition 42:11, pages 2659-2670.
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Leandro Pardo & Nirian Martín. (2009) Homogeneity/Heterogeneity Hypotheses for Standardized Mortality Ratios Based on Minimum Power‐divergence Estimators. Biometrical Journal 51:5, pages 819-836.
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J. A. Pardo & M. C. Pardo. (2007) Minimum Φ-Divergence Estimator and Φ-Divergence Statistics in Generalized Linear Models with Binary Data. Methodology and Computing in Applied Probability 10:3, pages 357-379.
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N. Martín & L. Pardo. (2008) Minimum phi-divergence estimators for loglinear models with linear constraints and multinomial sampling. Statistical Papers 49:1, pages 15-36.
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Leandro Pardo. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences 1 30 .
L. Pardo & M. L. Menéndez. (2006) Analysis of Divergence in Loglinear Models When Expected Frequencies are Subject to Linear Constraints. Metrika 64:1, pages 63-76.
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A.K. Gupta, T. Nguyen & L. Pardo. (2006) Preliminary Phi-divergence test estimator for multinomial probabilities. Computational Statistics & Data Analysis 50:7, pages 1749-1773.
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Ali Souleyman Dabye. (2006) Propriétés de l'EDM pour un processus de Poisson d'intensité discontinue. Comptes Rendus. Mathématique 342:6, pages 431-436.
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W. C. Parr. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences.
Christophe Aubry & Ali Souleyman Dabye. (2001) Asymptotic normality of the minimum distance estimators for a Poisson process with a discontinuous intensity function. Journal of Statistical Planning and Inference 99:1, pages 3-23.
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Wafaa Benyelles & Tahar Mourid. (2001) Estimation de la période d'un processus à temps continu à représentation autorégressive. Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 333:3, pages 245-248.
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Ayanendranath Basu, Ian R. Harris & Srabashi Basu. 1997. Robust Inference. Robust Inference 21 48 .
Ai‐Bing Yu. (2004) Johnson's S B distribution function as applied in the mathematical representation of particle size distributions. Part 1: Theoretical background and numerical simulation . Particle & Particle Systems Characterization 11:4, pages 291-298.
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Yury Kutoyants & Philippe Pilibossian. (1994) On minimum uniform metric estimate of parameters of diffusion-type processes. Stochastic Processes and their Applications 51:2, pages 259-267.
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Andrew Luong. (1991) Minimum Distance Methods Based on Quadratic Distances for Transforms in Simple Linear Regression Models. Journal of the Royal Statistical Society Series B: Statistical Methodology 53:2, pages 465-471.
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Felipe Ortega Angel. (1988) Uso del estadisticoD n de Kolmogorov-Smirnov en inferencia parametrica. Trabajos de Estadistica 3:2, pages 177-194.
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Douglas P. Wiens. (2008) Robust weighted Cramér‐von Mises Estimators of location, with minimax variance in ϵ‐contamination neighbourhoods. Canadian Journal of Statistics 15:3, pages 269-278.
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Vincent N Lariccia. (1984) Optimal weights for general L2 distance estimators. Statistics & Probability Letters 2:3, pages 169-173.
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P. W. Millar. (1984) A general approach to the optimality of minimum distance estimators. Transactions of the American Mathematical Society 286:1, pages 377-418.
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William C. Parr & William R. Schucany. (1982) Minimum Distance Estimation and Components of Goodness-Of-Fit Statistics. Journal of the Royal Statistical Society Series B: Statistical Methodology 44:2, pages 178-189.
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