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Journal of the Chinese Institute of Industrial Engineers Volume 23, 2006 - Issue 3
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Original Articles

ESTIMATION OF THE CHANGE POINT OF A GAMMA PROCESS BY USING THE S CONTROL CHART AND MLE

Yuehjen E. Shao Department of Statistics and Information Science, Fu Jen Catholic University, No.510, Zhongzheng Rd., Xinzhuang City, 242, Taiwan, (R.O.C.)
,
Chia-Ding Hou Department of Statistics and Information Science, Fu Jen Catholic University
&
Hsueh-Ju Wang Institute of Applied Statistics Fu Jen Catholic University
Pages 207-214 | Published online: 09 Feb 2010

Citations (8)

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Read on this site (3)

M. Esmail Dehghan Monfared & Fazlollah Lak. (2017) Bayesian estimation of the change point in a gamma process using control chart. Communications in Statistics - Simulation and Computation 46:3, pages 2333-2345.
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Sheng Hu, Liping Zhao, Yiyong Yao & Rushan Dou. (2016) A variance change point estimation method based on intelligent ensemble model for quality fluctuation analysis. International Journal of Production Research 54:19, pages 5783-5797.
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M. Esmail Dehghan Monfared & Fazlollah Lak. (2013) Bayesian Estimation of the Change Point Using X¯ Control Chart. Communications in Statistics - Theory and Methods 42:8, pages 1572-1582.
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Articles from other publishers (5)

Mohammad Esmaeil Dehghan Monfared & Fazlollah Lak. (2018) Finding True Change Point When a CUSUM Control Chart is Used. Journal of Statistical Research of Iran 15:1, pages 99-117.
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M. Esmail Dehghan Monfared & Fazlollah Lak. (2016) Bayesian Estimation of the Change Point Using CUSUM Control Chart. Sankhya B 79:1, pages 94-111.
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Huihui Shen. (2016) The Detection and Empirical Study of Variance Change Points on Housing Prices <br/>—Taking Wuhan City Commodity Prices as an Example. Journal of Mathematical Finance 06:05, pages 699-710.
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卉卉 沈. (2016) A Method of Detecting Multiple Change Point for Normal Distribution Process. Advances in Applied Mathematics 05:03, pages 321-326.
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Yuehjen E. Shao & Chia-Ding Hou. (2013) Change point determination for a multivariate process using a two-stage hybrid scheme. Applied Soft Computing 13:3, pages 1520-1527.
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