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Can I read Logarithmic Calibration for Nonparametric Multiplicative Distortion Measurement Errors Models on EtoBox?
Logarithmic Calibration for Nonparametric Multiplicative Distortion Measurement Errors Models by Jun Zhang; Xia Cui is a Mathematics article available to read on EtoBox.
What is Logarithmic Calibration for Nonparametric Multiplicative Distortion Measurement Errors Models about?
A logarithmic calibration estimation procedure is proposed for nonparametric regression models under the multiplicative distortion measurement errors setting. The unobservable response variable and covariates are both distorted in a multiplicative fashion by an observed confounding variable. By using the logarithmic calibration estimation procedure for unobserved variables, we consider to study the estimates of nonparametric mean function and its first derivative, the variance function, the Sharpe ratio function and correlation curve. We obtain asymptotic normality results for the proposed nonparametric estimators. Monte Carlo simulation experiments are conducted to examine the performance of the proposed estimators. The proposed estimators are applied to analyse a real dataset for an illustration.
Who reads Logarithmic Calibration for Nonparametric Multiplicative Distortion Measurement Errors Models?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Jun Zhang; Xia Cui
- Publisher
- Informa UK Limited
- Published
- 2021
- Language
- EN
- Field
- Mathematics (Physical Sciences)