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Testing linearity in partial functional linear quantile regression model based on regression rank scores
This paper investigates the hypothesis test of the parametric component in partial functional linear quantile regression model in which the dependent variable is related to both a vector of finite length and a...
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A Constrained Interval-Valued Linear Regression Model: A New Heteroscedasticity Estimation Method
Linear regression models for interval-valued data have been widely studied. Most literatures are to split an interval into two real numbers, i.e., the left- and right-endpoints or the center and radius of this...
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Statistical inference for the functional quadratic quantile regression model
In this paper, we develop statistical inference procedures for functional quadratic quantile regression model in which the response is a scalar and the predictor is a random function defined on a compact set of R
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Model-Based Control of Synchronizer Shifting Process for Trajectory Tracking Control
A novel approach of the tracking control for synchronizer displacement is introduced in this paper. Based on modeling for the structure of synchronizer and shifting process, a shifting displacement tracking co...
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Nr1d1 affects autophagy in the skeletal muscles of juvenile Nile tilapia by regulating the rhythmic expression of autophagy-related genes
Autophagy is an important evolutionary conserved process in eukaryotic organisms for the turnover of intracellular substances. Recent studies revealed that autophagy displays circadian rhythms in mice and zebr...
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Single-index partially functional linear regression model
In this paper, we propose a flexible single-index partially functional linear regression model, which combines single-index model with functional linear regression model. All the unknown functions are estimate...
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Randomized statistical inference: A unified statistical inference frame of frequentist, fiducial, and Bayesian inference
We propose randomized inference (RI), a new statistical inference approach. RI may be realized through a randomized estimate (RE) of a parameter vector, which is a random vector that takes values in the parame...
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A nonparametric inverse probability weighted estimation for functional data with missing response data at random
This paper considers the nonparametric inverse probability weighted estimation for functional data with missing response data at random. Under mild conditions, the asymptotic properties of the proposed estimat...
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Dynamic partially functional linear regression model
In this paper, we develop a dynamic partially functional linear regression model in which the functional dependent variable is explained by the first order lagged functional observation and a finite number of ...
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Valley Hall Effect and Magnetic Moment in Magnetized Silicene
We investigate the physical properties of silicene with both staggered sublattice potential and magnetization by using Kubo formalism, the latter arises from the magnetic proximity effect by depositing Fe atom...
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Composite quantile estimation in partial functional linear regression model with dependent errors
In this paper, we consider composite quantile estimation for the partial functional linear regression model with errors from a short-range dependent and strictly stationary linear processes. The functional pri...
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Robust exponential squared loss-based estimation in semi-functional linear regression models
In this paper, we present a new robust estimation procedure for semi-functional linear regression models by using exponential squared loss. The outstanding advantage of the proposed method is the resulting est...
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Study on the incidence and influences on heterotopic pregnancy from embryo transfer of fresh cycles and frozen-thawed cycles
The purpose of this study was to determine the heterotopic pregnancy rate using fresh versus frozen-thawed embryo transfers and factors associated with heterotopic pregnancy (HP). Management and clinical outco...
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Varying-coefficient partially functional linear quantile regression models
In this paper, we introduce a new varying-coefficient partially functional linear quantile regression model, which combines varying-coefficient quantile regression model with functional linear quantile regress...
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Open AccessIncreased role of E prostanoid receptor-3 in prostacyclin-evoked contractile activity of spontaneously hypertensive rat mesenteric resistance arteries
This study aimed to determine whether E prostanoid receptor-3 (EP3) is involved in prostacyclin (PGI2)-evoked vasoconstrictor activity of resistance arteries and if so, how it changes under hypertensive condition...
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Focused information criterion and model averaging in censored quantile regression
In this paper, we study model selection and model averaging for quantile regression with randomly right censored response. We consider a semi-parametric censored quantile regression model without distribution ...
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Article
Open AccessRole of E-type prostaglandin receptor EP3 in the vasoconstrictor activity evoked by prostacyclin in thromboxane-prostanoid receptor deficient mice
Prostacyclin, also termed as prostaglandin I2 (PGI2), evokes contraction in vessels with limited expression of the prostacyclin receptor. Although the thromboxane-prostanoid receptor (TP) is proposed to mediate s...
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Protocol
Reverse Genetics for Porcine Reproductive and Respiratory Syndrome Virus
Porcine reproductive and respiratory syndrome (PRRS) is a reemerging swine disease, and has become economically the most significant disease in pork production worldwide. The causative agent is PRRS virus (PRR...
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A test of linearity in partial functional linear regression
This paper investigates the hypothesis test of the parametric component in partial functional linear regression. We propose a test procedure based on the residual sums of squares under the null and alternative...
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Modern modes of provenance and dispersal of terrigenous sediments in the North Pacific and Bering Sea: implications and perspectives for palaeoenvironmental reconstructions
During expedition 202 aboard the RV Sonne in 2009, 39 seafloor surface sediment sites were sampled over a wide sector of the North Pacific and adjoining Bering Sea. The data served to infer land–ocean linkages...
