Complete consistency for the weighted least squares estimators in semiparametric regression models
From MaRDI portal
Publication:6053878
DOI10.1080/03610926.2022.2050400OpenAlexW4220958104MaRDI QIDQ6053878
No author found.
Publication date: 24 October 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2022.2050400
least squares estimatorsemiparametric regression modelcomplete consistencyweighted least squares estimatorWOD random errors
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Complete convergence for arrays of rowwise independent random variables and fuzzy random variables in convex combination spaces
- The inverse moment for widely orthant dependent random variables
- Complete and complete moment convergence for weighted sums of widely orthant dependent random variables
- Precise large deviations for dependent random variables with heavy tails
- Convergence rates for partially splined models
- On consistency of the weighted least squares estimators in a semiparametric regression model
- Negative association of random variables, with applications
- Uniform asymptotics for the finite-time ruin probability of a dependent risk model with a constant interest rate
- Theorems of complete convergence and complete integral convergence for END random variables under sub-linear expectations
- Applications of the Rosenthal-type inequality for negatively superadditive dependent random variables
- Complete convergence of moving average process based on widely orthant dependent random variables
- On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models
- On Complete Convergence for an Extended Negatively Dependent Sequence
- Root-N-Consistent Semiparametric Regression
- The Complete Convergence of Best Fit Decreasing
- SEMIPARAMETRIC REGRESSION MODEL FOR RECURRENT BACTERIAL INFECTIONS AFTER HEMATOPOIETIC STEM CELL TRANSPLANTATION
- Complete convergence for weighted sums of LNQD random variables
- A general result on complete convergence for weighted sums of linear processes and its statistical applications
- Complete Convergence and the Law of Large Numbers