The Experts below are selected from a list of 47694 Experts worldwide ranked by ideXlab platform
Lizhen Lin - One of the best experts on this subject based on the ideXlab platform.
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An adaptive Nonparametric Method in benchmark analysis for bioassay and environmental studies.
Statistics & probability letters, 2010Co-Authors: Rabi Bhattacharya, Lizhen LinAbstract:We present a novel Nonparametric Method for bioassay and benchmark analysis in risk assessment, which averages isotonic MLEs based on disjoint subgroups of dosages. The asymptotic theory for the Methodology is derived, showing that the MISEs (mean integrated squared error) of the estimates of both the dose-response curve F and its inverse F(-1) achieve the optimal rate O(N(-4/5)). Also, we compute the asymptotic distribution of the estimate ζ~p of the effective dosage ζ(p) = F(-1) (p) which is shown to have an optimally small asymptotic variance.
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An adaptive Nonparametric Method in benchmark analysis for bioassay and environmental studies.
Statistics & Probability Letters, 2010Co-Authors: Rabi Bhattacharya, Lizhen LinAbstract:We present a novel Nonparametric Method for bioassay and benchmark analysis in risk assessment, which averages isotonic MLEs based on disjoint subgroups of dosages. The asymptotic theory for the Methodology is derived, showing that the MISEs (mean integrated squared error) of the estimates of both the dose-response curve F and its inverse F-1 achieve the optimal rate O(N-4/5). Also, we compute the asymptotic distribution of the estimate of the effective dosage [zeta]p=F-1(p) which is shown to have an optimally small asymptotic variance.
Andrew L Johnson - One of the best experts on this subject based on the ideXlab platform.
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a Nonparametric Method to estimate a technical change effect on marginal abatement costs of u s coal power plants
Energy Economics, 2014Co-Authors: Maethee Mekaroonreung, Andrew L JohnsonAbstract:The literature usually assumes that technical change reduces marginal abatement cost; however, recent results suggest that precisely the opposite occurs. This paper proposes a Nonparametric Method to determine the effect of technical change on marginal abatement cost. The Method decomposes NOx marginal abatement cost changes in 2000–2004 and in 2004–2008 for 325 boilers operating in 134 U.S. bituminous coal power plant into technical and non-technical change effects. We find that technical change reduces the NOx marginal cost about 28.3% in 2000–2004 and 26.5% in 2004–2008. However, more stringent regulations enacted the NOx budget program results in lower NOx emission levels as plant operators install more advanced NOx abatement equipment which in turn causes an overall increase in marginal abatement cost.
Zhi Ding - One of the best experts on this subject based on the ideXlab platform.
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arma system identification based on second order cyclostationarity
IEEE Transactions on Signal Processing, 1994Co-Authors: Ye Li, Zhi DingAbstract:Previous work has presented novel techniques that exploit cyclostationarity for channel identification in data communication systems. The present authors investigate the identifiability of linear time-invariant (LTI) ARMA systems based on second-order cyclic statistics. They present a parametric and a Nonparametric Method. The parametric Method directly identifies the zeros and poles of ARMA channels with a mixed phase. The Nonparametric Method estimates the channel phase based on the cyclic spectra alone. They analyze the phase estimation error of the Nonparametric Method for finite dimensional ARMA channels. For specific, finite dimensional ARMA channels, an improved Method is given, which combines the parametric Method with the Nonparametric Method. Computer simulation illustrates the effectiveness of the Methods in identifying ARMA system impulse responses. >
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A new Nonparametric Method for linear system phase recovery from bispectrum
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1994Co-Authors: Zhi DingAbstract:For input signals with nonzero third order moment, the phase of a linear system transfer function can be identified from the bispectrum of its output signal. Instead of using partial bispectrum phase information which is more sensitive to noises and measurement errors, a new Nonparametric Method is proposed to utilize all the available bispectrum phase information. The proposed new Method is computationally simple. It does not require finding the pseudo-inverse of a gigantic matrix as some existing Methods do. Its effectiveness is demonstrated through computer simulations. >
Estela Bee Dagum - One of the best experts on this subject based on the ideXlab platform.
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A Nonparametric Method for benchmarking survey data via signal extraction
Journal of the American Statistical Association, 1997Co-Authors: Zhao-guo Chen, Pierre A. Cholette, Estela Bee DagumAbstract:Abstract This article introduces a Nonparametric Method to estimate the covariance matrix for the stationary part of the signal (hidden in data), to enable benchmarking via signal extraction. Some discussions and simulations are carried out to compare the proposed benchmarking Method to the regression Method development by Cholette and Dagum and the signal extraction Method developed by Hillmer and Trabelsi suggesting autoregression integrated moving average (ARIMA) models for the signal. The results show that the Nonparametric Method is feasible, robust, and almost as efficient as the signal extraction Method when the true model for the signal is known.
Rabi Bhattacharya - One of the best experts on this subject based on the ideXlab platform.
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An adaptive Nonparametric Method in benchmark analysis for bioassay and environmental studies.
Statistics & probability letters, 2010Co-Authors: Rabi Bhattacharya, Lizhen LinAbstract:We present a novel Nonparametric Method for bioassay and benchmark analysis in risk assessment, which averages isotonic MLEs based on disjoint subgroups of dosages. The asymptotic theory for the Methodology is derived, showing that the MISEs (mean integrated squared error) of the estimates of both the dose-response curve F and its inverse F(-1) achieve the optimal rate O(N(-4/5)). Also, we compute the asymptotic distribution of the estimate ζ~p of the effective dosage ζ(p) = F(-1) (p) which is shown to have an optimally small asymptotic variance.
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An adaptive Nonparametric Method in benchmark analysis for bioassay and environmental studies.
Statistics & Probability Letters, 2010Co-Authors: Rabi Bhattacharya, Lizhen LinAbstract:We present a novel Nonparametric Method for bioassay and benchmark analysis in risk assessment, which averages isotonic MLEs based on disjoint subgroups of dosages. The asymptotic theory for the Methodology is derived, showing that the MISEs (mean integrated squared error) of the estimates of both the dose-response curve F and its inverse F-1 achieve the optimal rate O(N-4/5). Also, we compute the asymptotic distribution of the estimate of the effective dosage [zeta]p=F-1(p) which is shown to have an optimally small asymptotic variance.
