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Gamma-admissibility of estimators in the one-parameter exponential family
Eichenauer-Herrmann, J. - In: Metrika 39 (1992) 1, pp. 199-208
Persistent link: https://www.econbiz.de/10005155845
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Detection of Outliers in Univariate Circular Data by Means of the Outlier Local Factor (LOF)
Abuzaid, Ali H. - In: Statistics in Transition New Series 21 (2020) 3, pp. 39-51
The problem of outlier detection in univariate circular data was the object of increased interest over the last decade … local outlier factor (LOF) is a density-based method for detecting outliers in multivariate data and it depends on the local … existing discordancy tests, while outperforming other tests. The level of the LOF performance is directly related to the …
Persistent link: https://www.econbiz.de/10012600257
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Detection of outliers in univariate circular data by means of the outlier local factor (LOF)
Abuzaid, Ali H. - In: Statistics in transition : an international journal of … 21 (2020) 3, pp. 39-51
The problem of outlier detection in univariate circular data was the object of increased interest over the last decade … local outlier factor (LOF) is a density-based method for detecting outliers in multivariate data and it depends on the local … existing discordancy tests, while outperforming other tests. The level of the LOF performance is directly related to the …
Persistent link: https://www.econbiz.de/10012291632
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Possible Regional Probability Distribution Type of Canadian Annual Streamflow by L-moments
Yue, Sheng; Wang, Chun - In: Water Resources Management 18 (2004) 5, pp. 425-438
For effective planning, design, and management of water resources engineering, the probability distribution of annual streamflow is necessary. The method of L-moments is applied to identify the probability distribution type of annual streamflow in different climatic regions of Canada. In the...
Persistent link: https://www.econbiz.de/10010794463
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Maximum likelihood and economic modeling
Lanot, Gauthier - In: IZA World of Labor (2017)
Most of the data available to economists is observational rather than the outcome of natural or quasi experiments. This complicates analysis because it is common for observationally distinct individuals to exhibit similar responses to a given environment and for observationally identical...
Persistent link: https://www.econbiz.de/10011662645
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Maximum likelihood and economic modeling : maximum likelihood is a general and flexible method to estimate the parameters of models in labor economics
Lanot, Gauthier - 2017
Most of the data available to economists is observational rather than the outcome of natural or quasi experiments. This complicates analysis because it is common for observationally distinct individuals to exhibit similar responses to a given environment and for observationally identical...
Persistent link: https://www.econbiz.de/10011586211
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Comparability Analyses of the SPI and RDI Meteorological Drought Indices in Different Climatic Zones
Khalili, Davar; Farnoud, Tohid; Jamshidi, Hamed; … - In: Water Resources Management 25 (2011) 6, pp. 1737-1757
Comparability analyses are performed to investigate similarities/differences of the standard precipitation index (SPI) and the reconnaissance drought index (RDI), respectively, utilizing precipitation and ratio of precipitation over potential evapotranspiration (ET <Subscript>0</Subscript>). Data are from stations...</subscript>
Persistent link: https://www.econbiz.de/10010997564
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Modelling the Absolute Returns of Different Stock Indices: Exploring the Forecastability of an Alternative Measure of Risk
Granger, Clive W.J.; Sin, Chor-yiu - Department of Economics, University of California-San … - 1999
Conventional measures of the risk of a financial asset make use of the unobserved (conditional) variance or standard deviation of its return. In this paper, we treat the observed absolute return as a measure of risk and explore its forecastability. Two simple models are considered. One is a new...
Persistent link: https://www.econbiz.de/10010536512
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Zero-inflated count regression models with applications to some examples
Lawal, Bayo - In: Quality & Quantity: International Journal of Methodology 46 (2012) 1, pp. 19-38
Persistent link: https://www.econbiz.de/10009396902
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A MATHEMATICAL THEORY FOR LEARNING, AND ITS APPLICATION TO TIME-VARYING COMPUTED TOMOGRAPHY
PERLOVSKY, LEONID; DEMING, ROSS - In: New Mathematics and Natural Computation (NMNC) 01 (2005) 01, pp. 147-171
The brain has evolved to enable organisms to survive in a complicated and dynamic world. Its operation is based upon a priori models of the environment which are adapted, during learning, in response to new and changing stimuli. The same qualities that make biological learning mechanisms ideal...
Persistent link: https://www.econbiz.de/10005047310