The normal distribution (also known as the Gaussian distribution) is arguably the most important distribution in Statistics. It is often used to represent continuous random variables occurring in ...

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

What is non-normal data? Normally distributed data is a commonly misunderstood concept in Six Sigma. Some people believe all data collected and used for analysis must be distributed normally. But ...

This article addresses a gap in many, if not all, introductory mathematical statistics textbooks, namely, transforming a random variable so that it better mimics a normal distribution. Virtually all ...

This is a preview. Log in through your library . Abstract The multivariate normal patterned mean and covariance matrix testing problem is studied for general one and k-population hypotheses. T. W.

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 ...