How to Fit Log Normal Distribution to Nanoparticle Data?
Fitting a log normal distribution to nanoparticle size data typically involves transforming the data by taking the natural logarithm and then performing a normal distribution fit on the transformed data. Statistical software packages like MATLAB, Python (with libraries such as SciPy), and R can be used to perform this analysis. The goodness-of-fit can be assessed using statistical tests such as the Anderson-Darling test or the Kolmogorov-Smirnov test.
