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.
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Cartography Environmental statistics Geographic information system Geostatistics Kriging. It was noted that the log-transformed lead levels fitted a normal distribution well that is, the data are from a lognormal distribution. The meaning and interpretation of these intervals are well known.
Retrieved from ” https: Engineering concepts Statistical intervals Statistical forecasting. 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.
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. Journal of Statistical Software. Correlation Regression analysis Correlation Pearson product-moment Partial correlation Confounding variable Coefficient of determination.
Grouped data Frequency distribution Contingency table. John Wiley and Sons.
Observational study Natural experiment Quasi-experiment. 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. Search all products by. Company organization, management and quality.
Tolerance interval – Wikipedia
YoungBook Reviews: Click to learn more. A two-sided prediction interval can be similarly computed. The faster, easier way to work with standards.
What is required is a tolerance interval; more specifically, an upper tolerance limit. Your basket is empty. Another example is given by: Simple linear regression Ordinary least squares General linear model Bayesian regression. Ryan 22 June The tolerance interval differs from a confidence interval in that the confidence interval bounds a single-valued population parameter the mean or the 166269-6for example with some confidence, while the tolerance interval bounds jso range of data values that includes a specific proportion of the population.
Regression Manova Principal components Canonical correlation Discriminant analysis Cluster analysis Classification Structural equation model Factor analysis Multivariate distributions Elliptical distributions Normal. 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.
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Retrieved 22 February A prediction interval has a similar interpretation, and is meant to provide information concerning a single lead level only. Chemometrics and Intelligent Laboratory Systems. You may find similar items within these categories by selecting from the choices below:. Spectral density estimation Fourier analysis Wavelet Whittle likelihood.
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