Kernel density estimation based on the distinct units in sampling with replacement
From MaRDI portal
Publication:2061756
DOI10.1007/s13571-019-00223-9zbMath1476.62070OpenAlexW3011381610MaRDI QIDQ2061756
Ibrahim A. Ahmad, Sayed A. Mostafa
Publication date: 21 December 2021
Published in: Sankhyā. Series B (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13571-019-00223-9
kernel regressionkernel density estimationrandom sample sizedistinct unitssampling with/without replacement
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Sampling theory, sample surveys (62D05)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On comparisons of with and without replacement sampling strategies for estimating finite population mean in randomized response surveys
- Simple random sampling with over-replacement
- On the two-phase framework for joint model and design-based inference
- Sufficient bootstrapping
- On kernel nonparametric regression designed for complex survey data
- Sampling streaming data with replacement
- Bootstrap methods: another look at the jackknife
- Kernel estimation for a superpopulation probability density function under informative selection
- Asymptotic properties of kernel density estimation with complex survey data
- Kernel density estimation from complex surveys in the presence of complete auxiliary information
- A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population
- The Role of Sampling Weights When Modeling Survey Data
- Remarks on Some Nonparametric Estimates of a Density Function
- Some Remarks on Sampling with Replacement
- A "Super-Population Viewpoint" for Finite Population Sampling
- On Use of Distinct Respondents in Randomized Response Surveys
- Survey Design Under the Regression Superpopulation Model
- Sufficient m-out-of-n (m/n) bootstrap
- Multivariate Density Estimation
- On the Comparison of Sampling with and without Replacement
- On Averaging Over Distinct Units in Sampling with Replacement
- On Estimation of a Probability Density Function and Mode