Statistical aspects of tolerance intervals estimation are considered and tolerance coefficients for unilateral and central intervals are derived for normally distributed biological variables. The difference between confidence and tolerance interval is explained and application to biological and environmental monitoring, as well as applications to reference values estimation, are exemplified. Tables of unilateral and central coefficients are also produced and reported for different sample dimensions, confidence, and tolerance levels
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...
In assessing biosimilarity between two products, the question to ask is always “How similar is simil...
[[abstract]]A biosimilar is a biological product that is highly similar to an existing approved refe...
A reference interval represents a range of values that a physician can use in order to interpret a s...
4 pages, 1 article*A Tolerance Interval Estimation Problem in Regression Analysis* (Robson, D. S.) 4...
Šajā diplomdarbā tiek aplūkoti vienpusējie un divpusējie tolerances intervāli parametriskajā un nepa...
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...
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...
ABSTRACT. Issues regarding tolerance and confidence intervals are discussed within the context of ed...
This paper deals with some basic statistical issues arising from biological monitoring. Data descrip...
Confidence and tolerance intervals — a tool for biomedical data analysis aimed at clear evidence MIR...
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...
In assessing biosimilarity between two products, the question to ask is always “How similar is simil...
[[abstract]]A biosimilar is a biological product that is highly similar to an existing approved refe...
A reference interval represents a range of values that a physician can use in order to interpret a s...
4 pages, 1 article*A Tolerance Interval Estimation Problem in Regression Analysis* (Robson, D. S.) 4...
Šajā diplomdarbā tiek aplūkoti vienpusējie un divpusējie tolerances intervāli parametriskajā un nepa...
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...
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...
ABSTRACT. Issues regarding tolerance and confidence intervals are discussed within the context of ed...
This paper deals with some basic statistical issues arising from biological monitoring. Data descrip...
Confidence and tolerance intervals — a tool for biomedical data analysis aimed at clear evidence MIR...
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...
In assessing biosimilarity between two products, the question to ask is always “How similar is simil...
[[abstract]]A biosimilar is a biological product that is highly similar to an existing approved refe...