On the square-integrable measure of the divergence of two nuclear estimations of the Bernoulli regression functions
From MaRDI portal
Publication:318109
DOI10.1007/S11253-015-1061-9zbMath1346.62073OpenAlexW2252712313MaRDI QIDQ318109
G. A. Sokhadze, Elizbar A. Nadaraya, Petre K. Babilua
Publication date: 4 October 2016
Published in: Ukrainian Mathematical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11253-015-1061-9
Related Items (4)
On estimating the Bernoulli regression function using Bernstein polynomials ⋮ On a New Estimation Method of the Bernoulli Regression Function ⋮ Unnamed Item ⋮ Unnamed Item
Cites Work
- Nonparametric curve estimation. Methods, theory, and applications
- Bootstrapping a nonparametric polytomous regression model
- Estimation of a distribution function by an indirect sample
- Kernel and Probit Estimates in Quantal Bioassay
- Kernel Regression When the Boundary Region is Large, With an Application to Testing the Adequacy of Polynomial Models
- Weighted kernel estimators in nonparametric binomial regression
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: On the square-integrable measure of the divergence of two nuclear estimations of the Bernoulli regression functions