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Computation of tolerance limits is investigated under the logistic regression model with fixed effec...
AbstractA tolerance region is a map from the sample space of one statistical model to the event spac...
Joint prediction intervals (based upon the original fitted model) for K future responses at each of ...
summary:Numerical results for a simple linear regression indicate that the non-simultaneous two-side...
4 pages, 1 article*A Tolerance Interval Estimation Problem in Regression Analysis* (Robson, D. S.) 4...
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...
Statistical aspects of tolerance intervals estimation are considered and tolerance coefficients for ...
Among statistical intervals, confidence intervals and prediction intervals are well-known and common...
Tables of factors for a one-sided tolerance limit computed from a sample drawn from a normal distrib...
Šajā diplomdarbā tiek aplūkoti vienpusējie un divpusējie tolerances intervāli parametriskajā un nepa...
Tolerance sensitivity analysis was conceived in 1980 as a pragmatic approach to effectively characte...
In assessing biosimilarity between two products, the question to ask is always “How similar is simil...
Right censored order statistics, Progressively type-II right censored order statistics, Nonparametri...
A reference interval represents a range of values that a physician can use in order to interpret a s...
Tolerance intervals in a regression setting allow the user to quantify, with a specified degree of c...
Computation of tolerance limits is investigated under the logistic regression model with fixed effec...
AbstractA tolerance region is a map from the sample space of one statistical model to the event spac...
Joint prediction intervals (based upon the original fitted model) for K future responses at each of ...
summary:Numerical results for a simple linear regression indicate that the non-simultaneous two-side...
4 pages, 1 article*A Tolerance Interval Estimation Problem in Regression Analysis* (Robson, D. S.) 4...
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...
Statistical aspects of tolerance intervals estimation are considered and tolerance coefficients for ...
Among statistical intervals, confidence intervals and prediction intervals are well-known and common...
Tables of factors for a one-sided tolerance limit computed from a sample drawn from a normal distrib...
Šajā diplomdarbā tiek aplūkoti vienpusējie un divpusējie tolerances intervāli parametriskajā un nepa...
Tolerance sensitivity analysis was conceived in 1980 as a pragmatic approach to effectively characte...
In assessing biosimilarity between two products, the question to ask is always “How similar is simil...
Right censored order statistics, Progressively type-II right censored order statistics, Nonparametri...
A reference interval represents a range of values that a physician can use in order to interpret a s...
Tolerance intervals in a regression setting allow the user to quantify, with a specified degree of c...
Computation of tolerance limits is investigated under the logistic regression model with fixed effec...
AbstractA tolerance region is a map from the sample space of one statistical model to the event spac...
Joint prediction intervals (based upon the original fitted model) for K future responses at each of ...