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. It suggest a microeconometric method for measuring flooding related risk preferences of affectedindividuals. The method …-experimental approach to measure differences in the risk attitudes of farmers located in highflooding risk areas versus farmers located in … low flooding risk areas is followed. Changes in flooding risk relatedbehaviour over time is analysed and marginal effects …
Persistent link: https://www.econbiz.de/10009442826
Persistent link: https://www.econbiz.de/10004820880
Time series monitoring methods, such as the Brown and Trigg methods, have the purpose of detecting pattern breaks (or “signals”) in time series data reliably and in a timely fashion. Traditionally, researchers have used the average run length statistic (ARL) on results from generated signal...
Persistent link: https://www.econbiz.de/10009441237
, overall caseload acuity profiles, case length, and acuity differentials. Normal distributions and outliers were analyzed and …
Persistent link: https://www.econbiz.de/10009466078
the psychological literature to the effect that non-normality and outliers have on the power of a given statistical test …
Persistent link: https://www.econbiz.de/10009475066
A Monte Carlo simulation was used to generate data for a comparison of five robust regression estimation methods with ordinary least squares (OLS) under 36 different outlier data configurations. Two of the robust estimators, Least Absolute Value (LAV) estimation and MM estimation, are...
Persistent link: https://www.econbiz.de/10009475082
outliers and influential observations. A variety of diagnostic methods are employed to identify these influential observations … methods utilised proved incapable of identifying or accommodating the gross outlier(s) in the data, the more successful …
Persistent link: https://www.econbiz.de/10009476844
moderate outlier, an extreme outlier, or both a moderate and extreme outlier. Students who saw any of the outliers expected to …
Persistent link: https://www.econbiz.de/10009450239
Rule-Based Forecasting (RBF) is an expert system that uses judgment to develop and apply rules for combining extrapolations. The judgment comes from two sources, forecasting expertise and domain knowledge. Forecasting expertise is based on more than a half century of research. Domain knowledge...
Persistent link: https://www.econbiz.de/10009484509
de la pandemia de COVID-19. ; We propose a method to adjust for data outliers in Bayesian Vector Autoregressions (BVARs … to document several facts about the effect of outliers on estimation and out-of-sample forecasting results using euro … estimation results. Second, these swings can be addressed by rescaling the shocks’ variance. Third, taking into account outliers …
Persistent link: https://www.econbiz.de/10013450840