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Regression equations between a response variable and candidate explanatory variables are often estimated using a training set of data from closely observed locations but are then applied using covariate data held in a GIS to predict the response variable at locations throughout a region. When...
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CV studies rarely ask willingness to accept (WTA) questions, yet there are a range of environmental projects where there are likely to be potential losers as well as gainers. This paper presents evidence from six biodiversity projects that the inclusion of contingent compensation payments from...
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We propose a vector autoregressive moving average process as a model for daily weather data. For the rainfall variable a monotonic transformation is applied to achieve marginal normality, thus defining a latent variable, with zero rainfall data corresponding to censored values below a threshold....
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