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Journal of Statistical Computation and Simulation Volume 52, 1995 - Issue 3
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Original Articles

Data driven versions of pearson's chisquare test for uniformity

Malgorzata. Bogdan Institute of Mathematics, Technical University of Wroclaw,
Pages 217-237 | Received 25 Jul 1994, Published online: 20 Mar 2007

Citations (12)

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Read on this site (4)

MaŁgorzata. Bogdan. (2001) Data driven versions of neyman's test for uniformity based on bayesian rule. Journal of Statistical Computation and Simulation 68:3, pages 203-222.
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Wilbert C.M. Kallenberg & Ledwina Teresa. (1997) Data driven smooth tests for composite hypotheses comparison of powers. Journal of Statistical Computation and Simulation 59:2, pages 101-121.
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WilbertC. M. Kallenberg & Teresa Ledwina. (1997) Data-Driven Smooth Tests When the Hypothesis is Composite. Journal of the American Statistical Association 92:439, pages 1094-1104.
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M. Bogdan & T. Ledwina. (1996) Testing Uniformity Via Log-Spline Modeling. Statistics 28:2, pages 131-157.
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Articles from other publishers (8)

Sirao Wang, Jiajuan Liang, Min Zhou & Huajun Ye. (2022) Testing Multivariate Normality Based on F-Representative Points. Mathematics 10:22, pages 4300.
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Wolfgang Rolke & Cristian Gutierrez Gongora. (2020) A chi-square goodness-of-fit test for continuous distributions against a known alternative. Computational Statistics 36:3, pages 1885-1900.
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Feifeng Jiang, Kwok Kit Richard Yuen & Eric Wai Ming Lee. (2020) Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology. Journal of Safety Research 75, pages 292-309.
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J. C. W. Rayner, O. Thas & D. J. Best. 2009. Smooth Tests of Goodness of Fit. Smooth Tests of Goodness of Fit 259 268 .
Chiara Buratti, Francesca Cuomo, Sara Della Luna, Ugo Monaco, John Orriss & Roberto Verdone. (2007) Optimum Tree-Based Topologies for Multi-Sink Wireless Sensor Networks Using IEEE 802.15.4. Optimum Tree-Based Topologies for Multi-Sink Wireless Sensor Networks Using IEEE 802.15.4.
Tadeusz Inglot & Teresa Ledwina. (2006) Towards data driven selection of a penalty function for data driven Neyman tests. Linear Algebra and its Applications 417:1, pages 124-133.
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Małgorzata Bogdan. (1999) Data Driven Smooth Tests for Bivariate Normality. Journal of Multivariate Analysis 68:1, pages 26-53.
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Tadeusz Inglot, Wilbert C.M. Kallenberg & Teresa Ledwina. 1998. Asymptotic Methods in Probability and Statistics. Asymptotic Methods in Probability and Statistics 811 829 .

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