Browse Prior Art Database

Confidence and Prediction Interval Determination

IP.com Disclosure Number: IPCOM000077108D
Original Publication Date: 1972-Jun-01
Included in the Prior Art Database: 2005-Feb-24
Document File: 2 page(s) / 66K

Publishing Venue

IBM

Related People

Simons, KK: AUTHOR

Abstract

All regression functions contain error in the estimated value of a dependent variable Y. A set of independent variables determines the range of possible Y values. This range can be expressed either as a confidence or prediction interval. The program represented by the flow chart will compute the dependent variable Y and also the confidence or prediction interval.

This text was extracted from a PDF file.
At least one non-text object (such as an image or picture) has been suppressed.
This is the abbreviated version, containing approximately 100% of the total text.

Page 1 of 2

Confidence and Prediction Interval Determination

All regression functions contain error in the estimated value of a dependent variable Y. A set of independent variables determines the range of possible Y values. This range can be expressed either as a confidence or prediction interval. The program represented by the flow chart will compute the dependent variable Y and also the confidence or prediction interval.

The confidence interval establishes a region of confidence around the regression function for all values (within the area of study) of the independent variables. The prediction interval forecasts Y for an individual set of independent variables. The prediction interval for Y is expressed as:

(Image Omitted)

1

Page 2 of 2

2

[This page contains 4 pictures or other non-text objects]