Stably Updating Mean and Standard Deviation of Data.
Abstract
By considering the (sample) mean of a set of data as a fit to this data by a constant function, a computational method is presented based on a matrix formulation and Givens transformations. The (sample) mean and deviation can be updated as data accumulates. The procedure is numerically stable and does not require storage of the data. Methods for dealing with weighted data and data removal are presented. When updating the mean and square of the standard deviation the process requires no square roots. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 06, 1974
- Accession Number
- AD0787841
Entities
People
- Richard J. Hanson
Organizations
- Washington State University