منابع مشابه
Parametric Reduced-Order Models
We address the problem of propagating input uncertainties through a computational fluid dynamics model. Methods such as Monte Carlo simulation can require many thousands (or more) of computational fluid dynamics solves, rendering them prohibitively expensive for practical applications. This expense can be overcome with reduced-order models that preserve the essential flow dynamics. The specific...
متن کاملOptimal Non-Parametric Prediction Intervals for Order Statistics with Random Sample Size
In many experiments, such as biology and quality control problems, sample size cannot always be considered as a constant value. Therefore, the problem of predicting future data when the sample size is an integer-valued random variable can be an important issue. This paper describes the prediction problem of future order statistics based on upper and lower records. Two different cases for the ...
متن کاملReconstruction of Order Statistics in Exponential Distribution
In this article, a new censoring scheme is considered, namely, a middle part of a random sample is censored. A treatment for reconstructing the missing order statistics is investigated. The proposed procedure is studied in detail under exponential distribution which is widely used as a constant failure model in reliability. Different approaches are used to obtain point and interval reconstructo...
متن کاملPredictive Inferences for Future Order Statistics under Parametric Uncertainty
2 Statistics Department, EVF Research Institute, University of Latvia Raina Blvd 19, LV-1050, Riga, Latvia E-mail: [email protected] 3 Informatics Department, Baltic International Academy Lomonosov Street 4, LV-1019, Riga, Latvia E-mail: [email protected] 4 Australian Institute of Health Innovation, University of New South Wales Level 1 AGSM Building, Sydney NSW 2052, Australia E-mail: m.moldovan@un...
متن کاملA Non-Parametric Order Statistics Software Reliability Model
This paper addresses a family of probability models for the failure time process known as order statistic models. Conventional order statistics models make rather strong distributional assumptions about the detection times: typically they assume that these come from some parametric family of distributions. In this paper a new model is presented that relaxes these distributional assumptions, and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 1996
ISSN: 0090-5364
DOI: 10.1214/aos/1032526968