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Increasing weather risk : fact of fiction?
Wang, Weining; Bobojonov, Ihtiyor B.; Härdle, Wolfgang; … - 2011
It is an undisputed fact that weather risk increases over time due to climate change. However, qualification of this … statement with regard to the type of weather risk and geographical location is needed. We investigate the application of novel … statistical tools for assessing changes in weather risk over time. We apply local t-test, change point tests and Mann-Kendall test …
Persistent link: https://www.econbiz.de/10009379509
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The design of weather index insurance using principal component regression and partial least squares regression : the case of forage crops
Boyd, Milton; Porth, Brock; Porth, Lysa; Tan, Ken Seng; … - In: North American actuarial journal : NAAJ ; leading the … 24 (2020) 3, pp. 355-369
Persistent link: https://www.econbiz.de/10012289575
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Modeling and predicting weather in agro-climatic scarcity zone using iterative approach
Bendre, Mininath R.; Manthalkar, Ramchandra R.; Thool, … - In: Decision 44 (2017) 1, pp. 51-67
Persistent link: https://www.econbiz.de/10011703064
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Regression model for estimating thermal resource usage in air conditioning systems : daily demand forecast by potential integral method, considering thermal inertia of room and wea...
Ikawa, Sho; Kuramoto, Kaoru; Kumagai, Satoshi; Kishima, … - In: Asian journal of management science and applications : AJMSA 4 (2019) 1, pp. 3-14
Persistent link: https://www.econbiz.de/10012154198
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Spatial panel models of crop yield response to weather : econometric specification strategies and prediction performance
Yun, Seong Do; Gramig, Benjamin M. - In: Journal of agricultural and applied economics : JAEE 54 (2022) 1, pp. 53-71
Persistent link: https://www.econbiz.de/10013341776
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Computing the update of the repeated median regression line in linear time
Bernholt, Thorsten; Fried, Roland - 2002
The repeated median line estimator is a highly robust method for fitting a regression line to a set of n data points in the plane. In this paper, we consider the problem of updating the estimate after a point is removed from or added to the data set. This problem occurs e.g. in statistical...
Persistent link: https://www.econbiz.de/10009770914
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Applied Statistics and Econometrics : Basic Topics and Tools with Gretl and R
Kivedal, Bjørnar Karlsen - 2024
1. Introduction 2 -- Start using Gretl and R 3 -- Basic Material 4 -- Hypothesis testing 5 -- Simple linear regression 6 -- Multiple regression 7 -- Regression using dummy variables 8 -- Non linear models 9 -- Time series analysis 10 -- Other statistical tools.
Persistent link: https://www.econbiz.de/10014519030
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Spurios regressions, with AR(1) correction and unit root pretest
Blough, Stephen Richard - 1992 - Rev
Persistent link: https://www.econbiz.de/10000833409
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Choice of regression method for detrending time series data with nonnormal errors
Swinton, Scott M.; King, Robert P. - 1989
Persistent link: https://www.econbiz.de/10000769032
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Econometric theory
Davidson, James; Davidson, James E. H. - 2000 - 1. publ.
Persistent link: https://www.econbiz.de/10000591834