Estimation and empirical likelihood for single-index multiplicative models

DOI10.1016/j.jspi.2017.08.003zbMath1377.62103OpenAlexW2750969835MaRDI QIDQ1681050

Huilan Liu, Xiaochao Xia

Publication date: 17 November 2017

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2017.08.003

zbMATH Keywords

asymptotic normalityempirical likelihoodmultiplicative modelsingle-index structureasymptotic normalitiesleast product relative errornonparametric link

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (13)

Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models ⋮ Local least product relative error estimation for single-index varying-coefficient multiplicative model with positive responses ⋮ Detection of marginal heteroscedasticity for partial linear single-index models ⋮ Single-index relative error regression models ⋮ Estimation and hypothesis test for partial linear single-index multiplicative models ⋮ A new relative error estimation for partially linear multiplicative model ⋮ Nonlinear regression models with single‐index heteroscedasticity ⋮ Incorporating relative error criterion to conformal prediction for positive data ⋮ Balanced augmented empirical likelihood for regression models ⋮ Least product relative error estimation for identification in multiplicative additive models ⋮ Measuring symmetry and asymmetry of multiplicative distortion measurement errors data ⋮ Penalized relative error estimation of functional multiplicative regression models with locally sparse properties ⋮ Nonconcave penalized M-estimation for the least absolute relative errors model

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