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Original Articles

Detection of outliers in the exponential distribution based on prediction

Pages 711-720 | Received 01 May 1987, Published online: 27 Jun 2007

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Read on this site (5)

H. M Barakat, Magdy E El-Adll & Amany E Aly. (2022) Prediction of future generalized order statistics based on two-parameter exponential distribution for large samples. Quality Technology & Quantitative Management 19:2, pages 259-275.
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Mehdi Jabbari Nooghabi. (2019) On detecting outliers in the Pareto distribution. Journal of Statistical Computation and Simulation 89:8, pages 1466-1481.
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Veeresh Gadag & Uditha Balasooriya. (1998) A likelihood ratio test for a shift in the lifelength distribution. Communications in Statistics - Theory and Methods 27:8, pages 1937-1945.
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Xuming He. (1990) Likelihood ratio test for discordancy with slippage alternatives. Communications in Statistics - Theory and Methods 19:10, pages 3585-3594.
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Articles from other publishers (7)

Narayanaswamy Balakrishnan & Ritwik Bhattacharya. (2022) On simultaneous best linear unbiased prediction of future order statistics and associated properties. Journal of Multivariate Analysis 188, pages 104854.
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Narayanaswamy Balakrishnan & Ritwik Bhattacharya. (2021) D-optimal joint best linear unbiased prediction of order statistics. Metrika 85:2, pages 253-267.
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Kai Röth, Shuai Shao & Julijana Gjorgjieva. (2021) Efficient population coding depends on stimulus convergence and source of noise. PLOS Computational Biology 17:4, pages e1008897.
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Huorong Ren, Xiujuan Liao, Zhiwu Li & Abdulrahman AI-Ahmari. (2017) Anomaly detection using piecewise aggregate approximation in the amplitude domain. Applied Intelligence 48:5, pages 1097-1110.
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V. Schultze & J. Pawlitschko. (2008) The identification of outliers in exponential samples. Statistica Neerlandica 56:1, pages 41-57.
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Jong-Wuu Wu. (2001) A note on determining the number of outliers in an exponential sample by least squares procedure. Statistical Papers 42:4, pages 489-503.
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E. S. Jeevanand & N. Unnikrishnan Nair. (1998) On determining the number of outliers in exponential and Pareto samples. Statistical Papers 39:3, pages 277-290.
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