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Original Articles

Some One-Sided Tests for Change in Level

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Pages 61-64 | Published online: 09 Apr 2012

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Ping Cao & Zhiming Xia. (2022) Distributed estimation and its fast algorithm for change-point in location models*. Communications in Statistics - Theory and Methods 51:23, pages 8328-8348.
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Abdeldjalil Slama & Hafida Saggou. (2017) A Bayesian analysis of a change in the parameters of autoregressive time series. Communications in Statistics - Simulation and Computation 46:9, pages 7008-7021.
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Yan Zhou, Liya Fu & Baoxue Zhang. (2017) Two non parametric methods for change-point detection in distribution. Communications in Statistics - Theory and Methods 46:6, pages 2801-2815.
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Tze-San Lee. (2010) Change-Point Problems: Bibliography and Review. Journal of Statistical Theory and Practice 4:4, pages 643-662.
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Ashis Sengupta & Arnab Kumar Laha. (2008) A Bayesian analysis of the change-point problem for directional data. Journal of Applied Statistics 35:6, pages 693-700.
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Ashis SenGupta & Arnab Kumar Laha. (2008) A Likelihood Integrated Method for Exploratory Graphical Analysis of Change Point Problem with Directional Data. Communications in Statistics - Theory and Methods 37:11, pages 1783-1791.
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Jie Chen & A. K. Gupta. (2001) ON CHANGE POINT DETECTION AND ESTIMATION. Communications in Statistics - Simulation and Computation 30:3, pages 665-697.
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Muni S. Srivastava, Tumulesh K.S. Solanky & A. K. Sen. (2001) POWER COMPARISON OF SOME TESTS FOR DETECTING A CHANGE IN THE MULTIVARIATE MEAN. Communications in Statistics - Simulation and Computation 30:1, pages 19-36.
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M.S. Srivastava & K.J. Worsley. (1986) Likelihood Ratio Tests for a Change in the Multivariate Normal Mean. Journal of the American Statistical Association 81:393, pages 199-204.
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David H. Moen & Lyle D. Broemeling. (1984) Testing for a change lit the regression matrix of a multivariate linear model. Communications in Statistics - Theory and Methods 13:12, pages 1521-1531.
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Edna Schechtman. (1983) A conservative nonparametric distribution-free confidence bound for the shift in the changepoint problem. Communications in Statistics - Theory and Methods 12:21, pages 2455-2464.
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Austin F. S. Lee & SylvaM. Heghinian. (1977) A Shift Of The Mean Level In A Sequence Of Independent Normal Random Variables—A Bayesian Approach—. Technometrics 19:4, pages 503-506.
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Suthakaran Ratnasingam & Wei Ning. (2022) Change Point Detection in Linear Failure Rate Distribution Under Random Censorship. Journal of Statistical Theory and Practice 17:1.
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Mutua Kilai, Gichuhi A. Waititu, Wanjoya A. Kibira, Ramy Aldallal, M. E. Bakr, Yusra A. Tashkandy & Fathy H. Riad. (2022) Information Approach for Change Point Analysis of EGGAPE Distribution and Application to COVID-19 Data. Mathematical Problems in Engineering 2022, pages 1-11.
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Suthakaran Ratnasingam & Wei Ning. (2021) Modified information criterion for regular change point models based on confidence distribution. Environmental and Ecological Statistics 28:2, pages 303-322.
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Suthakaran Ratnasingam & Wei Ning. (2020) Confidence Distributions for Skew Normal Change-Point Model Based on Modified Information Criterion. Journal of Statistical Theory and Practice 14:3.
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Abdeldjalil Slama. (2020) On Testing Changes in Parameters of Contaminated AR(1) Model. On Testing Changes in Parameters of Contaminated AR(1) Model.
Zekâi Şen. (2019) Partial trend identification by change-point successive average methodology (SAM). Journal of Hydrology 571, pages 288-299.
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Abdeldjalil Slama. (2017) A Bayesian analysis of a change in the parameters of the first-order autoregressive model in the presence of single outlier. A Bayesian analysis of a change in the parameters of the first-order autoregressive model in the presence of single outlier.
Alexey Artemov & Evgeny Burnaev. Ensembles of detectors for online detection of transient changes. Ensembles of detectors for online detection of transient changes.
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Kyong Joo Oh & Ingoo Han. (2001) An intelligent clustering forecasting system based on change-point detection and artificial neural networks: application to financial economics. An intelligent clustering forecasting system based on change-point detection and artificial neural networks: application to financial economics.
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