  We explore the degeneracy and discreteness problems in the standard
cosmological model (\Lambda CDM). We use the Observational Hubble Data (OHD)
and the type Ia supernova (SNe Ia) data to study this issue. In order to
describe the discreteness in fitting of data, we define a factor G to test the
influence from each single data point and analyze the goodness of G. Our
results indicate that a higher absolute value of G shows a better capability of
distinguishing models, which means the parameters are restricted into smaller
confidence intervals with a larger figure of merit evaluation. Consequently, we
claim that the factor G is an effective way in model differentiation when using
different models to fit the observational data.
