This chapter introduces the concepts of curve fitting, regression, covariance, and correlation, as applied to probability and statistics. Several examples are presented to illustrate their use in ...
Choosing the right curve fit model is essential for revealing key data features, such as rate of change, asymptotes, and EC 50 /IC 50 values. The best model is the one that most faithfully reflects ...
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