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Original Articles

Change Point Estimation of Multivariate Linear Profiles Under Linear Drift

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Pages 1570-1599 | Received 19 Oct 2012, Accepted 20 Jan 2013, Published online: 10 Dec 2014

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Read on this site (6)

Raza Sheikhrabori & Majid Aminnayeri. (2022) Maximum likelihood estimation of the change point in stationary state of auto regressive moving average (ARMA) models, using SVD-based smoothing. Communications in Statistics - Theory and Methods 51:22, pages 7801-7818.
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Somayeh Khalili & Rassoul Noorossana. (2022) Online monitoring of autocorrelated multivariate linear profiles via multivariate mixed models. Quality Technology & Quantitative Management 19:3, pages 319-340.
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Sajede Baratian Rahimi, Amirhossein Amiri & Reza Ghashghaei. (2021) Simultaneous monitoring of mean vector and covariance matrix of multivariate simple linear profiles in the presence of within profile autocorrelation. Communications in Statistics - Simulation and Computation 50:6, pages 1791-1808.
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Moslem Kordestani, Farid Hassanvand, Yaser Samimi & Hamid Shahriari. (2020) Monitoring multivariate simple linear profiles using robust estimators. Communications in Statistics - Theory and Methods 49:12, pages 2964-2989.
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Fatemeh Sogandi & Amirhossein Amiri. (2017) Monotonic change point estimation of generalized linear model-based regression profiles. Communications in Statistics - Simulation and Computation 46:3, pages 2207-2227.
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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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Articles from other publishers (9)

Ali Ghazizadeh, Mehrdad Sarani, Mahdi Hamid & Ahmad Ghasemkhani. (2021) Detecting and estimating the time of a single-step change in nonlinear profiles using artificial neural networks. International Journal of System Assurance Engineering and Management 14:1, pages 74-86.
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Karim Atashgar & Leila Abbassi. (2020) A new model to monitor very small effects of a polynomial profile. International Journal of Quality & Reliability Management 38:4, pages 1023-1043.
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Miguel Flores, Salvador Naya, Rubén Fernández-Casal, Sonia Zaragoza, Paula Raña & Javier Tarrío-Saavedra. (2020) Constructing a Control Chart Using Functional Data. Mathematics 8:1, pages 58.
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Hourieh Foroutan, Amirhossein Amiri & Reza Kamranrad. (2018) Improving Phase I Monitoring of Dirichlet Regression Profiles. International Journal of Reliability, Quality and Safety Engineering 25:06, pages 1850030.
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Mohammad Reza Maleki, Amirhossein Amiri & Philippe Castagliola. (2018) An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme. Computers & Industrial Engineering 126, pages 705-728.
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Abed Motasemi, Adel Alaeddini & Changliang Zou. (2017) An Area-based Methodology for the Monitoring of General Linear Profiles. Quality and Reliability Engineering International 33:1, pages 159-181.
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Mona Ayoubi, Reza Baradaran Kazemzadeh & Rassoul Noorossana. (2016) Change Point Estimation in the Mean of Multivariate Linear Profiles with No Change Type Assumption via Dynamic Linear Model. Quality and Reliability Engineering International 32:2, pages 403-433.
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Majid Khedmati & Seyed Taghi Akhavan Niaki. (2015) Identifying the time of a step change in AR(1) auto-correlated simple linear profiles. Journal of Industrial Engineering International 11:4, pages 473-484.
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Mona Ayoubi & Reza Baradaran Kazemzadeh. (2015) Estimating sporadic change point in the mean of polynomial profiles. Estimating sporadic change point in the mean of polynomial profiles.

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