Comparison between conditional mean and quantile estimates
Optimized Regularity Estimates of Conditional Distribution of the Sample Mean
... resonances between them, in the form of ”small denominators”, are structural in nature and cannot be attributed to one or another specific lo- cus in the physical, single-particle configuration ...correlations ...
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Quantile Sieve Estimates For Time Series
... nonparametric quantile sieve estimates to some arti- ficially generated ...graphical comparison of the function estimate with the true quantile function, we restrict ourselves to the case of a ...
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Non-crossing nonparametric estimates of quantile curves
... three estimates have a similar behaviour, where the new method yields a slightly smaller mean squared error if 10% and 90% quantiles have to be ...all estimates behave similar, while for the ...
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Are there differences between unconditional and conditional demand estimates? implications for future research and policy
... Research findings also indicate that among uninsured people the poorest have a higher probability of using pub- lic providers than the richest quintile. Arguably, this is particularly the case with regards to the ...
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Are there differences between unconditional and conditional demand estimates? implications for future research and policy
... Research findings also indicate that among uninsured people the poorest have a higher probability of using pub- lic providers than the richest quintile. Arguably, this is particularly the case with regards to the ...
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On the Relationship Between the Conditional Mean and Volatility of Stock Returns: A Latent VAR Approach
... the estimates presented in the empirical ...SML estimates (by a factor of about 300), but it also keeps drifting upward as N ...SML estimates, in contrast, the variance seems to be fairly stable ...
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Kernel conditional quantile estimation via reduction revisited
... estimated quantile regression functions are given in Table I. For comparison, we contrast the performance of our method with SVM based quantile estimator ...produced estimates suffer badly in ...
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Prediction via the Quantile-Copula Conditional Density Estimator
... the mean, the interval symmetric around the median, the interval between the 1−α 2 and 1+α 2 quantiles, the interval of shortest length, the interval that minimizes the probability of covering a given ...
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Alcohol quantity and quality price elasticities: quantile regression estimates
... on quantile regression in the context of alcohol demand was done by Manning et ...relationship between conditional consumption decile and price elasticity, with the middle of the drinking ...
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Foreign Aid, Terrorism and Growth: Conditional Evidence from Quantile Regression
... Table 2 shows the summary statistics of the variables employed in the study. Some of the indicators are defined in logarithm terms in order to facilitate the comparison of mean values. We also notice that ...
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Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks
... the quantile index τ ∈ (0, 1) is either low, close to zero, or high, close to ...we mean that the order of the τ -quantile, τ T , defined as the product of quantile index τ with the sample ...
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Factors influencing the Middle East tourist travelling to Malaysia: The quantile estimates
... The quantile unit root test is based on the following conditional quantile auto- regression (AR) model in the Tour series: 𝑄 𝑇𝑜𝑢𝑟 𝑡 (𝜏|𝐹 𝑡 ) = 𝛼 0 (𝜏) + 𝛼 1 (𝜏)𝑇𝑜𝑢𝑟 𝑡−1 + ∑ 𝑞 𝑗=1 𝛼 𝑗+1 (𝜏)∆𝑇𝑜𝑢𝑟 𝑡−1 ...
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Comparison between quantile regression technique and generalised additive model for regional flood frequency analysis
... mm/h), mean annual rainfall (rain, mm); mean annual rain days (rdays), mean annual Class A pan evaporation (evap, mm); catchment area (area, km 2 ); lemniscate shape, a measure of the rotundity of a ...
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On the comparison between the LISFLOOD modelled and the ERS/SCAT derived soil moisture estimates
... The comparison between the LISFLOOD modelled and the ERS/SCAT derived soil moisture products has revealed that the two datasets match well over large regions, particularly in lowlands and in areas far from ...
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Assessing Reflective Models in Marketing Research: A Comparison Between PLS and PLSc Estimates
... obtained estimates may be meaningless, and the conclusions drawn from them become ...(dG) between the empirical and the model-implied correlation matrix allow the assessment of the global goodness of the ...
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Conditional mean field
... potentials. Conditional mean field raises many questions, and since we can only hope to answer some in this study, the Ising model represents a respectable first ...
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Exogenous impact and conditional quantile functions
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Nonparametric Inferences on Conditional Quantile Processes
... of conditional quantile functions or more generally as tests of how certain covariates affect the distribution of an outcome variable of ...regarding conditional quantile ...additive ...
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Conditional Spatial Quantile: Characterization and Nonparametric Estimation
... Keywords: Conditional Spatial Quantile, Contours, Kernel Estimators, Spatial ...le quantile d’un vecteur al´ eatoire conditionnellement ` a un ...de quantile spatial telle qu’elle a ´ et´ e ...
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A quantile-copula approach to conditional density estimation
... Taking advantage of this regression formulation, Fan et al. [ 4 ] generalized the kernel-based estimate of the conditional density using local polynomial techniques. This makes it possible to tackle the bias ...
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