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 ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...

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 ...

Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in the accounting and finance industries for more than 20 years. Her expertise covers a ...

This example considers a data set given in Lawless (1982). The data are the number of days it took rats painted with a carcinogen to develop carcinoma. The last two observations are censored. Maximum ...

Small samples with censored data, when analyzed by large-sample methods, yield confidence intervals that are too short. This article presents tables for exact confidence limits for the parameters of a ...

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 ...