The shape of a histogram can tell us some key points about the distribution of the data used to create it. It can tell us the relationship between the mean and the median, and also allow us to ...

This column is the fourth in a series on parameter estimation, leading up to the justly famous Kalman filter. The discipline is based on the fact that our knowledge of the state of any real-world ...

This displays the parametric density estimation dialog in Figure 12.14. You can select one of four distribution families, and you can use sample parameter estimates or you can specify your own. Figure ...

Which normal density curve best approximates the sample histogram? The answer suggested here is the normal curve that minimizes the integrated squared deviation between the histogram and the normal ...

Review challenges in the use of normality testing situations and recommendations on how to assess data distributions in the pharmaceutical development manufacturing environment Statisticians ...