Over the last few decades, Lean Six Sigma has become an integral part of the world of business. It is one of the most ...

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 ...

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 ...

Circular statistics is a specialised subfield of statistics that focuses on analysing data points distributed on a circle. Unlike conventional linear statistics, circular data is characterised by ...

Statistics uses small samples to predict how phenomena behave in the real world. Many management tools with the aim of maximizing efficiency (ex: Six Sigma) attempt to decrease variances using a ...

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 ...

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 ...