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Bias, bias reduction and implications in predictive regression [PDF]
Predictive regression models are often used to forecast future possibilities of a given finance variable. For that, we rely on statistical inference: estimation and hypothesis testing. Inaccurate estimation results make inaccurate inference for a scientific question.
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N-EDU: An Innovative Neutrosophic Logic Construction for Digital Transformation Effectiveness of College Ideological and Political Education with Mathematical Foundations and Applied Learning Dynamics [PDF]
This paper presents N-EDU, a new mathematical framework for Digital Ideological and Political Education (DIPE) based on neutrosophic logic. In N-EDU, both learners and educational content are described using neutrosophic triplets ( đ,đŒ,đč ), where is ...
Ye Chen
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The existing estimators for the drift coefficient in the diffusion model with jumps involve jump components and possess larger boundary error. How to effectively estimate the drift function is an important issue that faces challenges and has theoretical ...
Yuping Song +4 more
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Exchange biasing of single-domain Ni nanoparticles spontaneously grown in an antiferromagnetic MnO matrix [PDF]
Exchange biased composites of ferromagnetic single-domain Ni nanoparticles embedded within large grains of MnO have been prepared by reduction of Ni$_x$Mn$_{1-x}$O$_4$ phases in flowing hydrogen.
Abramoff M D +7 more
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Joint models of longitudinal and survival outcomes have gained much popularity in recent years, both in applications and in methodological development.
Valeria Leiva-Yamaguchi, Danilo Alvares
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Local fitting with a power basis
Local polynomial modelling can be seen as a local fit of the data against a polynomial basis. In this paper we extend this method to the power basis, i.e. a basis which consists of the powers of an arbitrary function.
Jochen Einbeck
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Exchange bias effects in Fe nanoparticles embedded in an antiferromagnetic Cr2O3 matrix [PDF]
Powders consisting of ferromagnetic (FM) Fe nanoparticles, of about 7 nm in size, embedded in an antiferromagnetic (AFM) Cr2O3 matrix have been obtained by high-temperature reduction under a hydrogen atmosphere of a mixed CrâFe oxide.
BarĂł, Maria Dolors +8 more
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BIAS REDUCTION USING MAHALANOBIS METRIC MATCHING [PDF]
SUMMARYMonte Carlo methods are used to study the ability of nearest available Mahalanobis metric matching to make the means of matching variables more similar in matched samples than in random samples.
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Jackknife Bias Reduction in the Presence of a Near-Unit Root
This paper considers the specification and performance of jackknife estimators of the autoregressive coefficient in a model with a near-unit root.
Marcus J. Chambers, Maria Kyriacou
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Bias-Correction in Vector Autoregressive Models: A Simulation Study
We analyze the properties of various methods for bias-correcting parameter estimates in both stationary and non-stationary vector autoregressive models.
Tom Engsted, Thomas Q. Pedersen
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