During the regression process, does SDSM do the regression with daily or monthly values?
To produce daily simulated values (y), the regression is made with daily predictands (occurrence and amount of precipitation independently, i.e. conditional process, and unconditional process for temperature) and daily predictors (x1, x2 and x3), whereas the model parameters (or regression coefficients, a, b, c) are calculated for each month. The same series of predictors is used over all the year but the regression coefficient is calculated for each month, i.e. the weight of each predictor in the regression can vary from a month to another. A correction term is also included in the equation (i.e. a bias correction and an inflation factor).
Related Questions
- Given that a regression analysis is a complex process, not all contractors will be able to undertake one in order to comply with the Voluntary Guidelines. What should these contractors do?
- Was an explicit and sensible process used to consider the relative values of different outcomes?
- What are the dominant values and principles in Ratcliff’s process?
