I have data comprising distances between successive points on a line (1D vector):
Traditionally in my field, such data is fitted with a gamma-distribution in an attempt to describe the distribution of the points, however, in some instances I find that a Weibull distribution fits better (higher likelihood as based on BIC/AIC) or in some instances, Weibull is the only distribution that fits with any significance. I'm not overly familiar with a Weibull distribution - what could this be revealing about my data sample? Is there a certain skew toward smaller or larger distances that is better represented with a Weibull as opposed to a Gamma? What are the central differences between a Gamma and Weibull that would be applicable here?