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Counterfactual prediction from machine learning models: transportability and joint analysis for model development and evaluation using multi-source data. [PDF]
Voter SC +5 more
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Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution. [PDF]
Pia̧tek S.
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Algorithms and approximations for the modified Weibull model under censoring with application to the lifetimes of electrical appliances. [PDF]
Ramzan Q +4 more
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Confidence Intervals for Adaptive Trial Designs II: Case Study and Practical Guidance. [PDF]
Robertson DS +6 more
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A general form of covariate adjustment in clinical trials under covariate-adaptive randomization. [PDF]
Bannick MS +5 more
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Asymptotic properties of the estimators of the semi-parametric spatial regression model
Communications in Statistics - Theory and Methods, 2017Spatial data and non parametric methods arise frequently in studies of different areas and it is a common practice to analyze such data with semi-parametric spatial autoregressive (SPSAR) models.
Peng Xiaozhi, Wu Hecheng, Ma Ling
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IFAC Proceedings Volumes, 2009
Abstract It is well known that under very general assumptions the discrete Fourier coefficients of filtered noise is asymptotically independent circular complex Gaussian distributed, based on a generalized central limit theorem (CLT). The standard results on the consistency and the asymptotic uncertainty of the frequency domain Errors-in-Variables ...
Barbé, Kurt +2 more
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Abstract It is well known that under very general assumptions the discrete Fourier coefficients of filtered noise is asymptotically independent circular complex Gaussian distributed, based on a generalized central limit theorem (CLT). The standard results on the consistency and the asymptotic uncertainty of the frequency domain Errors-in-Variables ...
Barbé, Kurt +2 more
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Computational Statistics & Data Analysis, 2010
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Mathematical Methods of Statistics, 2014
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