ISO 16269-6 PDF

Partie 6: Détermination des intervalles statistiques de dispersion. STANDARD. ISO. Second edition. Reference number. STANDARD. ISO. Second edition. Reference number. ISO (E). This is a free 6 page sample. Access the full version online. Purchase your copy of BS ISO as a PDF download or hard copy directly from the official BSI Shop. All BSI British Standards.

Author: Bagar Kazilkis
Country: Great Britain
Language: English (Spanish)
Genre: Business
Published (Last): 20 March 2008
Pages: 320
PDF File Size: 10.95 Mb
ePub File Size: 7.97 Mb
ISBN: 400-9-58767-236-2
Downloads: 83099
Price: Free* [*Free Regsitration Required]
Uploader: Kazragar

A two-sided prediction interval can be similarly computed. Category Portal Commons WikiProject. Pearson product-moment Partial correlation Confounding variable Coefficient of determination. Mean arithmetic geometric harmonic Median Mode. Z -test normal Student’s t -test F -test. Engineering concepts Statistical intervals Statistical forecasting.

This section needs expansion with: Search all products by.

ISO 16269-6:2014

Another example is given by: Determination of statistical tolerance intervals Status: Pearson product-moment correlation Rank correlation Spearman’s rho Kendall’s tau Partial correlation Scatter plot.

Determination of statistical tolerance intervals”. Such an interval, would however, not be of much help to a person renting one of these cars and wondering whether the full gallon tank of gas will suffice to carry him the miles to his destination. Chemometrics and Intelligent Laboratory Systems. Learn more about the cookies we use and how to change your settings. So consider once again a proverbial EPA mileage test scenario, in which several nominally identical autos of a particular model are tested to produce mileage figures y 1y 2.

Bayesian probability prior posterior Credible interval Bayes factor Bayesian estimator Maximum posterior estimator. The prediction interval only bounds a single future sample, however, whereas a tolerance interval bounds the entire population equivalently, an arbitrary sequence of future samples.

Tolerance interval – Wikipedia

By using this site, you agree to the Terms of Use and Privacy Policy. A prediction interval has a similar interpretation, and is meant to provide information concerning a single lead level only. This page was last edited on 11 Juneat Not to be confused with Engineering tolerance.


John Wiley and Sons.

Central limit theorem Moments Skewness Kurtosis L-moments. From Wikipedia, the free encyclopedia. We use cookies to make our website easier to use and to better understand your needs. Accept and continue Learn more about the cookies we use 16629-6 how to change your settings.

In other words, a prediction interval covers a specified proportion of a population on averagewhereas a izo interval covers it with a certain confidence levelmaking the tolerance interval more appropriate if a single interval is intended to bound multiple future samples. You may find similar items within these categories by selecting from the choices below:. We note that exp mu is the median air lead level.

Whereas a confidence interval’s size is entirely due to sampling errorand will approach a zero-width interval at the true population parameter as sample size increases, a tolerance interval’s size is due partly to sampling error and partly to actual variance in the population, and will approach the population’s probability interval as sample size increases. What is required is a tolerance interval; more specifically, an upper tolerance limit. YoungBook Reviews: Pages using web citations with no URL Articles to be expanded from July All articles to be expanded Articles using small message boxes.

The tolerance isk is related to a prediction interval in that ios put bounds on variation in future samples. Now suppose we 16269–6 to predict the air lead level at a particular area within the laboratory. Views Read Edit View history.

A confidence interval for mu can be constructed the usual way, based on sio t -distribution ; this in turn will provide a confidence interval for the median air lead level. The meaning and interpretation of these intervals are well known. Grouped data Frequency distribution Contingency table. This website is best viewed with browser version of up to Microsoft Internet Explorer 8 or Firefox 3.


GSO ISO – Standards Store – GCC Standardization Organization

Retrieved 22 February Correlation Regression analysis Correlation Pearson product-moment Partial correlation Confounding variable Coefficient of determination. Take the smart route to manage medical device compliance.

Your basket is empty. Cartography Environmental statistics Geographic information system Geostatistics Kriging. The tolerance interval differs from a confidence interval in that the confidence interval bounds a single-valued population parameter the mean or the 16629-6for example with some confidence, while the tolerance interval bounds the range of data values that includes a specific proportion of the population.

Simple linear regression Ordinary least squares General linear model Bayesian regression. Theory, Applications, 12669-6 Computation. The confidence interval and prediction interval cannot answer this question, since the confidence interval is only for the median lead level, and the prediction interval is only for a single lead level.

You can help by adding to it.

Charts, Data representation, Statistical tables, Confidence limits, Statistical methods of analysis, Tables dataStatistical tolerance intervals, Estimation, Mathematical calculations, Distribution free tests, Variance, Standard deviation, Statistical testing, Data analysis, Ios data, Normal distribution. It was noted that the log-transformed lead levels fitted a normal distribution well that is, the 16296-6 are from a lognormal distribution.

Observational study Natural experiment Quasi-experiment. A tolerance interval is a statistical interval within which, with some confidence level, a specified proportion of a sampled population falls.