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Linear Trend Filtering via Adaptive LASSO
2018Linear trend filtering methods are popular due to their overall simplicity—the model is linear in each segment and there are typically only few segments considered. These segments are defined by unique points where the trend changes its direction—so-called changepoints. In this paper, we consider an innovative estimation approach for such models.
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Trend Pattern Analysis of Cotton Using Linear and Non-linear Models
Journal of Basic and Applied Research InternationalThis paper investigates the trend patterns in area, production, and yield of cotton in India using secondary time series data from 2001-2023. Trend values are estimated by fitting linear, exponential, quadratic, and cubic models to the data. The accuracy of these models is evaluated using statistical measures, including the coefficient of determination
Manish Kumar +3 more
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SSRN Electronic Journal, 2008
Published methods for the pricing of weather derivatives are based on classical statistics, in that the predictions of the distributions of weather indices that they use are based on best estimates of model parameters. It is likely that such methods do not accurately capture the true uncertainty because they either ignore or approximate parameter and ...
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Published methods for the pricing of weather derivatives are based on classical statistics, in that the predictions of the distributions of weather indices that they use are based on best estimates of model parameters. It is likely that such methods do not accurately capture the true uncertainty because they either ignore or approximate parameter and ...
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New Trends in Nonparametric Linear System Identification
2014PILLONETTO, GIANLUIGI, G. De Nicolao
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Electronegativity and Hardness: Linear Isoelectronic Trends
Current Physical Chemistry, 2017openaire +1 more source