Robust bayesian inference in empirical regression models [PDF]
, 1991 Broadening the stochastic assumptions on the error terms of regression models was prompted by the analysis of linear multivariate t models in Zellner (1976).
Osiewalski, Jacek, Steel, Mark F.J.
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A New Test in Parametric Linear Models against Nonparametric Autoregressive Errors [PDF]
This paper considers a class of parametric models with nonparametric autoregressive errors. A new test is proposed and studied to deal with the parametric specification of the nonparametric autoregressive errors with either stationarity or ...
Jiti Gao, Maxwell King
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Local Likelihood Estimation of Truncated Regression and Its Partial Derivatives: Theory and Application [PDF]
In this paper we propose a very flexible estimator in the context of truncated regression that does not require parametric assumptions. To do this, we adapt the theory of local maximum likelihood estimation.
Byeong U. Park +2 more
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[19] J. D. Gibson and M. L. Melsa, Introduction to Non-Parametric Detection
, 2008 [16] H. V. Poor and M. Tanda, “Multiuser detection in impulsive channels,” Ann. Telecommun., vol. 54, pp. 392–400, Jul./Aug. 1999. [17] P. J. Huber, Robust Statistics. New York: Wiley, 1981. [18] B. Seyfe and A. R.
New York +7 more
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Non-parametric regression in clustered multistate current status data with informative cluster size. [PDF]
Stat Neerl, 2017 Lan L, Bandyopadhyay D, Datta S.
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Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat. [PDF]
G3 (Bethesda), 2012 Pérez-Rodríguez P +5 more
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Semi-Parametric Hedonic Models, and Empirical Comparison [PDF]
Hedonic models have been widely used in the literature for valuation of non- market goods such as air quality. While the inclusion of air quality variables in hedonic models is common in applied work, there is not theoretical basis for defining the ...
Nancy Lozano-Gracia
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Semiparametric Regression Estimation in Null Recurrent Nonlinear Time Series [PDF]
Estimation theory in a nonstationary environment has been very popular in recent years. Existing studies focus on nonstationarity in parametric linear, parametric nonlinear and nonparametric nonlinear models. In this paper, we consider a partially linear
Jia Chen, Jiti Gao, Degui Li
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Selection of Barley Genotypes (Hordeum vulgare L.) with High and Stable Grain Yield in Drought Stress Conditions [PDF]
پژوهشنامه اصلاح گیاهان زراعیExtended Abstract Background: The increased demand for cereals that are consumed by humans and livestock can be met through the development of planting drought-tolerant genotypes.
Ali Barati +3 more
doaj
Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models. [PDF]
PsychometrikaGrønneberg S, Irmer JP.
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