Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 16, 2024Stochastic Models

The consistency of the estimators in semiparametric regression model based on m -asymptotic negatively associated errors

View Full Paper
Ask AI
Bookmark
Share

Authors

JFJiayi FengASAiting ShenDWDantong Wang

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Feng et al. (2024) studied this question.

synapsesocial.com/papers/68e73ba2b6db6435876b592ahttps://doi.org/10.1080/15326349.2024.2325449
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Complete Consistency of G-M Estimator in Nonparametric Regression Model Based on Extended Negatively Dependent Errors2026 · 1 citations
  2. 2Asymptotic normality for the estimators in heteroscedastic semiparametric EV models with α-mixing errors2024
  3. 3The asymptotics for the estimators in a semiparametric regression model under infinite <i>r</i> -th moments2026
  4. 4Exponential consistency of M-estimators in generalized linear mixed models2024 · 1 citations
  5. 5The rates of strong consistency for estimators in heteroscedastic partially linear errors-in-variables model for widely orthant dependent samples2024 · 1 citations