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 ...

The extent to which products meet specifications needs to be systematically monitored in a production process. Product quality will typically be defined by two quantities: deviations from stated ...

Standard deviation (SD) is still the most widely used measure of dispersion, or in financial markets, risk.That all sounds a bit technical but it's actually pretty straightforward to understand. It is ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

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 ...

The problem considered is that of estimating the mean and standard deviation of a normally distributed population from a truncated sample when neither count nor measurements of variates in the omitted ...

The usual process inspection scheme for controlling the standard deviation (S. D.) of a normal distribution is to plot a Shewhart chart on which are recorded the ranges of small samples; a common size ...