Climate policies under climate model uncertainty: Max-min and min-max regret.

The results of the analysis were presented as the median (min-max).

The first technique we will cover is min-max normalization.

The results of the analysis were presented as the median (min-max).

Data were presented as mean±SD, median (min-max).

A simple method to get started would be min-max normalization.

The one we are going to use here is called min-max normalization.

The energy is normalised using the min-max normalisation.8

Data are presented as mean ± SD or median (min-max).

The proposed system applies transformation by min-max normalization.

This is meant to avoid a bit of min-maxing abuse (although you can still min-max pretty good…)

This is called the “min-max” or the “minimax” or “max-min” criterion.

You can try this modified example at min-max-image-container.html (see the source code).

We then normalized the data by applying the min-max normalization method.

In this phase, repetitive records were eliminated using the min–max normalization method.