نتایج جستجو برای: missing data
تعداد نتایج: 2444874 فیلتر نتایج به سال:
This paper addresses the problem of recognising speech in the presence of a competing speaker. We employ a speech fragment decoding technique that treats segregation and recognition as coupled problems. Data-driven techniques are used to segment a spectro-temporal representation into a set of spectro-temporal fragments, such that each fragment is dominated by one or other of the speech sources....
Let's read! We will often find out this sentence everywhere. When still being a kid, mom used to order us to always read, so did the teacher. Some books are fully read in a week and we need the obligation to support reading. What about now? Do you still love reading? Is reading only for you who have obligation? Absolutely not! We here offer you a new book enPDFd missing data and small area esti...
This paper presents a new random weighting method for estimation of Poisson distributions. A theory is established for random weighting estimation of the population parameters of two Poisson distributions with partially missing data. The strong convergence of the random weighting estimation is rigorously proved under the condition of 1 1 E X (0 1) . The random weighting estimation...
The National Park Service funded a study to determine the impact of water released from the Glen Canyon Dam on sandbars downriver through Grand Canyon National Park. The project involved considerable amounts of messy and missing data. Some of the challenges faced and lessons learned during this project are described.
Pairwise comparison matrix as a crucial component of AHP, presents the preference relations among alternatives. However, in many cases, the pairwise comparison matrix is difficult to complete, which obstructs the subsequent operations of the classical AHP. In this paper, based on DEMATEL which has ability to derive the total relation matrix from direct relation matrix, a new completion method f...
Background and Objectives: A major challenge that affects the longitudinal studies is the problem of missing data. Missing in the data may result in the loss of part of the information which reduces the accuracy of the estimator and obtain the results will be biased and inaccurate. Therefore, it is necessary to evaluate the missing data mechanism from a longitudinal research and to consider thi...
prevalence and pattern of hypodontia in the permanent dentition of 3374 iranian orthodontic patients
background: hypodontia is the most common dental anomaly and might cause clinical complications. the aim of this study was to assess the prevalence and pattern of congenital missing in the permanent dentition dentition (excluding third molars), among iranian orthodontic patients. materials and methods: in this descriptive cross-sectional study, all approved panoramic radiographs of 3374 orthodo...
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