On the translated exponential model with censoring.
Bartolucci, A.A., Dickey, J.M., Singh, K.P., Tabatabai, M.A. (1998)
Southwest Journal of Pure and Applied Mathematics [electronic only]
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Bartolucci, A.A., Dickey, J.M., Singh, K.P., Tabatabai, M.A. (1998)
Southwest Journal of Pure and Applied Mathematics [electronic only]
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G. S. Lingappaiah (1983)
Applicationes Mathematicae
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J. Bartoszewicz, R. Zieliński (1985)
Applicationes Mathematicae
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R. Zieliński (1983)
Applicationes Mathematicae
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Souto Martinez, Alexandre, Silva González, Rodrigo, Sangaletti Terçariol, César Augusto (2009)
Advances in Mathematical Physics
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Simos G. Meintanis, George Iliopoulos (2003)
Kybernetika
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Two characterizations of the exponential distribution among distributions with support the nonnegative real axis are presented. The characterizations are based on certain properties of the characteristic function of the exponential random variable. Counterexamples concerning more general possible versions of the characterizations are given.
J. Bartoszewicz (1974)
Applicationes Mathematicae
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J. Bartoszewicz (1975)
Applicationes Mathematicae
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Hocine Fellag (2001)
Discussiones Mathematicae Probability and Statistics
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The testing problem on the first-order autoregressive parameter in finite sample case is considered. The innovations are distributed according to the exponential distribution. The aim of this paper is to study how much the size of this test changes when, at some time k, an innovation outlier contaminant occurs. We show that the test is rather sensitive to these changes.
M.A. Beg (1980)
Metrika
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J. Bartoszewicz (1984)
Applicationes Mathematicae
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Maria Manuela Neves, Clara Cordeiro (2010)
Discussiones Mathematicae Probability and Statistics
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Time series analysis deals with records that are collected over time. The objectives of time series analysis depend on the applications, but one of the main goals is to predict future values of the series. These values depend, usually in a stochastic manner, on the observations available at present. Such dependence has to be considered when predicting the future from its past, taking into account trend, seasonality and other features of the data. Some of the most successful forecasting...