Results 321 to 330 of about 30,987,372 (386)
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Egoist’s dilemma with interval data
Applied Mathematics and Computation, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jahanshahloo, G. R. +2 more
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Regression with Interval-Censored Data
Biometrika, 1995Summary: Interval-censored data result when survival times are not known exactly, but are only known to have occurred between intermittent examination times. Here the accelerated failure time model is treated for interval- censored data. A class of score statistics that may be used for estimation and confidence procedures is proposed.
Rabinowitz, Daniel +2 more
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Computers & industrial engineering, 2019
Two big challenges for sustainable supplier management consist of (1) properly integrating the multiple factors necessary to measure the sustainability performance of suppliers and (2) modeling the dynamic nature of those factors.
Aineth Torres-Ruiz, A. Ravi Ravindran
semanticscholar +1 more source
Two big challenges for sustainable supplier management consist of (1) properly integrating the multiple factors necessary to measure the sustainability performance of suppliers and (2) modeling the dynamic nature of those factors.
Aineth Torres-Ruiz, A. Ravi Ravindran
semanticscholar +1 more source
Interval Archetypes: A New Tool for Interval Data Analysis
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2012AbstractArchetypal analysis aims at synthesizing single‐valued data sets through a few (not necessarily observed) points that are called archetypes, under the constraint that all points can be represented as a convex combination of the archetypes themselves and that the archetypes are a convex combination of the data.
D'Esposito M. R. +2 more
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Hazard Regression with Interval-Censored Data
Biometrics, 1997In a recent paper, Kooperberg, Stone, and Truong (1995a) introduced hazard regression (HARE), in which linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data and one or more covariates.
Kooperberg, Charles +1 more
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IET Intelligent Transport Systems, 2019
Identifying traffic states at urban intersections plays a significant role in achieving the full potential of intelligent transportation systems for various traffic applications (e.g. real-time traffic signal control).
Wenming Rao +3 more
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Identifying traffic states at urban intersections plays a significant role in achieving the full potential of intelligent transportation systems for various traffic applications (e.g. real-time traffic signal control).
Wenming Rao +3 more
semanticscholar +1 more source
A study of divisive clustering with Hausdorff distances for interval data
Pattern Recognition, 2019Clustering methods are becoming key as analysts try to understand what knowledge is buried inside contemporary large data sets. This article analyzes the impact of six different Hausdorff distances on sets of multivariate interval data (where, for each ...
Yi Chen, L. Billard
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Testing of mean interval for interval-valued data
Communications in Statistics - Theory and Methods, 2019A new parametric hypothesis test of mean interval for interval-valued data set, which can deal with massive information contained in nowadays massive data “Big data” sets, is proposed.
Anuradha Roy, Daniel Klein
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Prediction intervals for survival data
Statistics in Medicine, 1983AbstractThis paper concerns large sample prediction intervals for the survival times of a future sample based on an initial sample of censored survival data. Simple procedures are developed for obtaining non‐parametric and exponential prediction intervals for the future sample quantiles; the non‐parametric interval results from inversion of an ...
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