Search Results - subject:"Nonparametric prediction intervals"

Using linear interpolation to reduce the order of the coverage error of nonparametric prediction intervals based on right-censored data

Beutner, E.; Cramer, E. - In: Journal of Multivariate Analysis 129 (2014) C, pp. 95-109

coverage error of nonparametric prediction intervals for a future observation from the same underlying distribution function …

Persistent link: https://www.econbiz.de/10011041889

Computational aspects of statistical intervals based on two Type-II censored samples

Balakrishnan, N.; Beutner, E.; Cramer, E. - In: Computational Statistics 28 (2013) 3, pp. 893-917

In this paper, we propose an efficient branch and bound procedure to compute exact nonparametric statistical intervals based on two Type-II right censored data sets. The procedure is based on some recurrence relations for the distribution and density functions of progressively Type-II censored...

Persistent link: https://www.econbiz.de/10010847617

Exact nonparametric meta-analysis for multiple independent doubly Type-II censored samples

Volterman, William; Balakrishnan, N.; Cramer, Erhard - In: Computational Statistics & Data Analysis 56 (2012) 5, pp. 1243-1255

usual order statistics can be obtained. This is used to construct nonparametric prediction intervals, tolerance intervals …

Persistent link: https://www.econbiz.de/10010871362

Exact two-sample nonparametric confidence, prediction, and tolerance intervals based on ordinary and progressively type-II right censored data

Balakrishnan, N.; Beutner, E.; Cramer, E. - In: TEST: An Official Journal of the Spanish Society of … 19 (2010) 1, pp. 68-91

Persistent link: https://www.econbiz.de/10008515572