Add to ORKG4 pages, 1 article*A Tolerance Interval Estimation Problem in Regression Analysis* (Robson, D. S.) 4 page
The differences and uses of the three most common intervals used in statistics are not well known. W...
Confidence intervals are used to capture a parameter of interest, usually a mean or a quantile, at a...
9 pages, 1 article*An Application of Fieller's Theorem to Obtain an Interval Estimate of the Common ...
contain these Terms of use. This paper has been digitized, optimized for electronic delivery and sta...
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...
Among statistical intervals, confidence intervals and prediction intervals are well-known and common...
Tolerance intervals have been recommended for simultaneously validating both the accuracy and precis...
Tolerance intervals have been recommended for simultaneously validating both the accuracy and precis...
Statistical aspects of tolerance intervals estimation are considered and tolerance coefficients for ...
summary:Numerical results for a simple linear regression indicate that the non-simultaneous two-side...
This work is focused on estimating interval data by real functions and interval functions. It presen...
Statistical tolerance interval is another type of interval estimator used for making statistical in...
Assessment of the variability in population values plays an important role in the analysis of scient...
Šajā diplomdarbā tiek aplūkoti vienpusējie un divpusējie tolerances intervāli parametriskajā un nepa...
In a dose finding study the aim is to attain a safe and efficient drug therapy in a certain populati...
The differences and uses of the three most common intervals used in statistics are not well known. W...
Confidence intervals are used to capture a parameter of interest, usually a mean or a quantile, at a...
9 pages, 1 article*An Application of Fieller's Theorem to Obtain an Interval Estimate of the Common ...
contain these Terms of use. This paper has been digitized, optimized for electronic delivery and sta...
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...
Among statistical intervals, confidence intervals and prediction intervals are well-known and common...
Tolerance intervals have been recommended for simultaneously validating both the accuracy and precis...
Tolerance intervals have been recommended for simultaneously validating both the accuracy and precis...
Statistical aspects of tolerance intervals estimation are considered and tolerance coefficients for ...
summary:Numerical results for a simple linear regression indicate that the non-simultaneous two-side...
This work is focused on estimating interval data by real functions and interval functions. It presen...
Statistical tolerance interval is another type of interval estimator used for making statistical in...
Assessment of the variability in population values plays an important role in the analysis of scient...
Šajā diplomdarbā tiek aplūkoti vienpusējie un divpusējie tolerances intervāli parametriskajā un nepa...
In a dose finding study the aim is to attain a safe and efficient drug therapy in a certain populati...
The differences and uses of the three most common intervals used in statistics are not well known. W...
Confidence intervals are used to capture a parameter of interest, usually a mean or a quantile, at a...
9 pages, 1 article*An Application of Fieller's Theorem to Obtain an Interval Estimate of the Common ...