Your cart is currently empty!

ISO 16269:2004
ISO 16269:2004 Statistical interpretation of data – Part 8: Determination of prediction intervals
CDN $390.00
Description
ISO 16269-8:2004 specifies methods of determining prediction intervals for a single continuously distributed variable. These are ranges of values of the variable, derived from a random sample of size n, for which a prediction relating to a further randomly selected sample of size m from the same population may be made with a specified confidence.
Three different types of population are considered, namely normally distributed with unknown standard deviation, normally distributed with known standard deviation, and continuous but of unknown form.
For each of these three types of population, two methods are presented, one for one-sided prediction intervals and one for symmetric two-sided prediction intervals. In all cases, there is a choice from among six confidence levels.
The methods presented for types of population that are normally distributed with unknown standard deviation and normally distributed with known standard deviation may also be used for non-normally distributed populations that can be transformed to normality.
For types of population that are normally distributed with unknown standard deviation and normally distributed with known standard deviation, the tables presented in ISO 16269-8:2004 are restricted to prediction intervals containing all the further m sampled values of the variable. For types of population that are continuous but of unknown form, the tables relate to prediction intervals that contain at least m – r of the next m values, where r takes values from 0 to 10 or 0 to m – 1, whichever range is smaller.
For normally distributed populations, a procedure is also provided for calculating prediction intervals for the mean of m further observations.
Edition
1
Published Date
2004-09-21
Status
PUBLISHED
Pages
108
Format 
Secure PDF
Secure – PDF details
- Save your file locally or view it via a web viewer
- Viewing permissions are restricted exclusively to the purchaser
- Device limits - 3
- Printing – Enabled only to print (1) copy
See more about our Environmental Commitment

Abstract
ISO 16269-8:2004 specifies methods of determining prediction intervals for a single continuously distributed variable. These are ranges of values of the variable, derived from a random sample of size n, for which a prediction relating to a further randomly selected sample of size m from the same population may be made with a specified confidence.
Three different types of population are considered, namely normally distributed with unknown standard deviation, normally distributed with known standard deviation, and continuous but of unknown form.
For each of these three types of population, two methods are presented, one for one-sided prediction intervals and one for symmetric two-sided prediction intervals. In all cases, there is a choice from among six confidence levels.
The methods presented for types of population that are normally distributed with unknown standard deviation and normally distributed with known standard deviation may also be used for non-normally distributed populations that can be transformed to normality.
For types of population that are normally distributed with unknown standard deviation and normally distributed with known standard deviation, the tables presented in ISO 16269-8:2004 are restricted to prediction intervals containing all the further m sampled values of the variable. For types of population that are continuous but of unknown form, the tables relate to prediction intervals that contain at least m - r of the next m values, where r takes values from 0 to 10 or 0 to m - 1, whichever range is smaller.
For normally distributed populations, a procedure is also provided for calculating prediction intervals for the mean of m further observations.
Previous Editions
Can’t find what you are looking for?
Please contact us at:
Related Documents
-
ISO 3534:2014 Statistics – Vocabulary and symbols – Part 4: Survey sampling
0 out of 5CDN $273.00 Add to cart -
ISO 3301:1975 Statistical interpretation of data – Comparison of two means in the case of paired observations
0 out of 5CDN $76.00 Add to cart -
ISO 16355:2023 Applications of statistical and related methods to new technology and product development process – Part 7: Guidelines for developing digitalized products and services – General principles and perspectives of the QFD method
0 out of 5CDN $233.00 Add to cart -
ISO 13528:2022 Statistical methods for use in proficiency testing by interlaboratory comparison
0 out of 5CDN $390.00 Add to cart