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 ...

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

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 ...

An iterated logarithm theorem is presented for sequences of independent, not necessarily bounded, random variables, the distribution of whose partial sums is related to the standard normal ...

This is a preview. Log in through your library . Abstract For the problem of estimating a p-variate normal mean, the existence of confidence procedures which dominate the usual one, a sphere centered ...

Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...

Everyone agrees the normal distribution isn't a great statistical model for stock market returns, but no generally accepted alternative has emerged. A bottom-up simulation points to the Laplace ...