OpenGMS

**Sampling** is a method to investigate and understand the population using a sample.

**B-SHADE**(Biased Sentinel Hospital based Area Disease Estimation) model can generate
an unbiased estimation of the population with biased samples. Although originally designed for
biased sentinel hospitals' patient number/incidence estimation, it is a common method for biased
samples’ population estimation.

1.Input historical data

2.Input the required number of sample stations.

3.Advanced options can setted in "Options" part.

4.run model.

Search all combonations when number is less than

Initial temperature

Stop temperature

Stop energy

Temperature cool rate

Maximum number of consecutive rejections

Maximum number of tries within one temperature

Maximum number of successes within one temperature