Inference on finite population categorical response: nonparametric regression-based predictive approach

DOI10.1007/s10182-011-0159-0zbMath1443.62088OpenAlexW2036593864MaRDI QIDQ1633228

Sumanta Adhya, Gaurangadeb Chattopadhyay, Tathagata Banerjee

Publication date: 19 December 2018

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-011-0159-0

zbMATH Keywords

EM algorithmLaplace approximationpredictive approachrandom coefficients splines model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Uses Software

• LBFGS-B
• SemiPar

Cites Work

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• Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions
• Semiparametric multinomial logit models for analysing consumer choice behaviour
• On the asymptotic normality of statistics with estimated parameters
• Estimators of the finite population distribution function using nonparametric regression
• Bootstrapping the Chambers--Dunstan estimate of a finite population distribution function
• A quadratic bootstrap method and improved estimation in logistic regression.
• Local polynomial regresssion estimators in survey sampling.
• REML estimation for binary data in GLMMs
• A kernel method for estimating finite population distribution functions using auxiliary information
• Model-assisted estimation for complex surveys using penalised splines
• Penalized Likelihood for General Semi-Parametric Regression Models
• Properties of estimators of the finite population distribution function
• The Linear Least-Squares Prediction Approach to Two-Stage Sampling
• Some results on generalized difference estimation and generalized regression estimation for finite populations
• A Modified EM Algorithm for Estimation in Generalized Mixed Models
• Semiparametric Regression
• Penalized Spline Estimation for Partially Linear Single-Index Models
• Likelihood Ratio Tests in Linear Mixed Models with One Variance Component
• Approximate Inference in Generalized Linear Mixed Models
• Bias Robust Estimation in Finite Populations Using Nonparametric Calibration
• Fully Exponential Laplace Approximations to Expectations and Variances of Nonpositive Functions
• A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
• Semiparametric modelling of multicategorical data
• A Limited Memory Algorithm for Bound Constrained Optimization
• A Goodness‐of‐Fit Test for Multinomial Logistic Regression
• Model-Assisted Estimation of Forest Resources With Generalized Additive Models
• Structured Additive Regression for Categorical Space–Time Data: A Mixed Model Approach
• Semiparametric Models for Missing Covariate and Response Data in Regression Models
• On finite population sampling theory under certain linear regression models
• Generalized additive models for cancer mapping with incomplete covariates
• Nonparametric Model Calibration Estimation in Survey Sampling
• Multivariate statistical modelling based on generalized linear models.

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