Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Pauline Coolen-Schrijner"'
Publikováno v:
Communications in Statistics - Theory and Methods. 42:3478-3496
Nonparametric predictive inference (NPI) is a powerful frequentist statistical framework based only on an exchangeability assumption for future and past observations, made possible by the use of lower and upper probabilities. In this article, NPI is
Publikováno v:
Journal of Statistical Theory and Practice. 6:665-680
Measuring the accuracy of diagnostic tests is crucial in many application areas, including medicine, health care, and data mining. Good methods for determining diagnostic accuracy provide useful guidance on selection of patient treatment, and the abi
Publikováno v:
Communications in Statistics - Theory and Methods. 41:4164-4181
We consider lifetime experiments to compare units from different groups, where the units’ lifetimes may be right censored. Nonparametric predictive inference for comparison of multiple groups is presented, in particular lower and upper probabilitie
Publikováno v:
Journal of Statistical Planning and Inference. 142:1141-1150
Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine and health care. Good methods for determining diagnostic accuracy provide useful guidance on selection of patient treatment, and the ability to compare
Publikováno v:
Journal of Statistical Planning and Inference. 141:1403-1421
Nonparametric predictive inference (NPI) is a statistical approach based on few assumptions about probability distributions, with inferences based on data. NPI assumes exchangeability of random quantities, both related to observed data and future obs
Publikováno v:
Statistics & Probability Letters. 81:181-187
We consider the suggestion that the shape of a hazard rate can be predicted from the quasi-stationary distribution of the process, demonstrate that this hypothesis requires specific conditions, and both eliminate and suggest methods by means of which
Publikováno v:
Journal of Statistical Planning and Inference. 140:515-525
In reliability and lifetime testing, comparison of two groups of data is a common problem. It is often attractive, or even necessary, to make a quick and efficient decision in order to save time and costs. This paper presents a nonparametric predicti
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 224:11-26
In reliability, failure data often correspond to competing risks, where several failure modes can cause a unit to fail. This paper presents nonparametric predictive inference (NPI) for competing risks data, assuming that the different failure modes a
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 224:55-62
Age replacement is a well-established theoretical model for guidance on preventive replacement of technical units, with the intention to replace units before failure, in a manner that is most cost-effective. Traditionally, the cost criterion is based
Publikováno v:
International Journal of Approximate Reasoning. 51(1):141-150
This paper presents a statistical method for comparison of two groups of real-valued data, based on nonparametric predictive inference (NPI), with the tails of the data possibly terminated, leading to small values being left-censored and large values