Question

Here are three sets of estimates of the parameters for this model. Which one is best(of the three presented here) for predicting the data? a) k 1 =0.91,k 2 =0.15 b) k 1 =0.65,k 2 =0.41 c) k 1 =0.85,k 2 =0.9

Answer 1

The set of estimates (c) with k₁ = 0.85 and k₂ = 0.9 is the best for predicting the data.

Step-by-step explanation:

The best set of parameter estimates is determined by evaluating how well the model predictions match the actual data.

Given three sets of estimates:

a) k₁ = 0.91, k₂ = 0.15,

b) k₁ = 0.65, k₂ = 0.41,

c) k₁ = 0.85, k₂ = 0.9.

Perform calculations or simulations using the model for each set of estimates.

Compare the model predictions with the actual data, considering factors like accuracy and goodness of fit.

The set of estimates (c) with k₁ = 0.85 and k₂ = 0.9 is deemed the best if it provides the closest match to the observed data.