AbstractA tolerance region is a map from the sample space of one statistical model to the event space of a second statistical model having the same parameter. This paper derives an optimum β-expectation tolerance region for the multivariate regression model. A measure of power is proposed and evaluated
4 pages, 1 article*A Tolerance Interval Estimation Problem in Regression Analysis* (Robson, D. S.) 4...
This paper presents asymptotically optimal prediction intervals and prediction regions. The predicti...
Di Bucchianico, A., Einmahl, J. H. J., & Mushkudiani, N. A. (2001). Smallest nonparametric tole...
AbstractA tolerance region is a map from the sample space of one statistical model to the event spac...
AbstractIn this paper a procedure of construction of β-expectation tolerance regions in the framewor...
A tolerance region for a population is a region computed using a random sample, so that the region w...
Tolerance intervals in a regression setting allow the user to quantify, with a specified degree of c...
We present a new natural way to construct nonparametric multivariate tolerance regions. Unlike the c...
A reference interval represents a range of values that a physician can use in order to interpret a s...
We define a class of multivariate tolerance regions which turn out to be more resistant than the cla...
A method is given for constructing a prediction region having smallest expected measure within the c...
In this article, an improved method of computing tolerance factors for multivariate normal distribut...
AbstractA method is given for constructing a prediction region having smallest expected measure with...
We present a new, natural way to construct nonparametric multi-variate tolerance regions. Unlike the...
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...
4 pages, 1 article*A Tolerance Interval Estimation Problem in Regression Analysis* (Robson, D. S.) 4...
This paper presents asymptotically optimal prediction intervals and prediction regions. The predicti...
Di Bucchianico, A., Einmahl, J. H. J., & Mushkudiani, N. A. (2001). Smallest nonparametric tole...
AbstractA tolerance region is a map from the sample space of one statistical model to the event spac...
AbstractIn this paper a procedure of construction of β-expectation tolerance regions in the framewor...
A tolerance region for a population is a region computed using a random sample, so that the region w...
Tolerance intervals in a regression setting allow the user to quantify, with a specified degree of c...
We present a new natural way to construct nonparametric multivariate tolerance regions. Unlike the c...
A reference interval represents a range of values that a physician can use in order to interpret a s...
We define a class of multivariate tolerance regions which turn out to be more resistant than the cla...
A method is given for constructing a prediction region having smallest expected measure within the c...
In this article, an improved method of computing tolerance factors for multivariate normal distribut...
AbstractA method is given for constructing a prediction region having smallest expected measure with...
We present a new, natural way to construct nonparametric multi-variate tolerance regions. Unlike the...
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...
4 pages, 1 article*A Tolerance Interval Estimation Problem in Regression Analysis* (Robson, D. S.) 4...
This paper presents asymptotically optimal prediction intervals and prediction regions. The predicti...
Di Bucchianico, A., Einmahl, J. H. J., & Mushkudiani, N. A. (2001). Smallest nonparametric tole...
DOI
Add to ORKG