Showing 1 - 10 of 13
The effects of CO-tubes insertion on NOx (nitrogen oxides) and CO emissions from a compact heat exchanger were numerically simulated using a quasi one-dimensional premixed flame model, and the results were compared to experiments with a laboratory-scale heat exchanger and a commercial compact...
Persistent link: https://www.econbiz.de/10011055297
This paper applies Kim and Warde’s (2004) stratified Warner’s randomized response model to Mangat and Singh’s (1990) two-stage randomized response model. The proposed stratified randomized response model has an optimal allocation and a large gain in precision. Hence, the estimator based on...
Persistent link: https://www.econbiz.de/10005598651
Many pattern classification algorithms such as Support Vector Machines (SVMs), Multi-Layer Perceptrons (MLPs), and K-Nearest Neighbors (KNNs) require data to consist of purely numerical variables. However many real world data consist of both categorical and numerical variables. In this paper we...
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This paper proposes a new class of copulas which characterize the set of all twice continuously differentiable copulas. We show that our proposed new class of copulas is a new generalized copula family that include not only asymmetric copulas but also all smooth copula families available in the...
Persistent link: https://www.econbiz.de/10010600131
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We propose a new partial correlation approach using Gaussian copula. Our empirical study found that the Gaussian copula partial correlation has the same value as that which is obtained by performing a Pearson's partial correlation. With the proposed method, based on canonical vine and d-vine, we...
Persistent link: https://www.econbiz.de/10008864244
In this paper, we propose an empirical log-likelihood estimator for estimating the population mean of a sensitive variable in the presence of an auxiliary variable. A new concept of conditional mean squared error of the empirical likelihood estimator is introduced. The proposed method is valid...
Persistent link: https://www.econbiz.de/10008868900