1 citations · 1 across the 8 of their papers we have counts for
10 papers
Reconciliation of Bayes and empirical Bayes interval estimation with application to small area estimation
Aditi Sen, Masayo Y. Hirose, Partha Lahiri
Multi-level normal hierarchical models, also interpreted as mixed effects models, play an important role in developing statistical theory in multi-parameter estimation for a wide r…
Bias Corrected Variance Stabilizing Transformation for Small Area Estimation
Masayo Y. Hirose, Malay Ghosh, Mayumi Oka
Small area estimation models are typically based on the normality assumption of response variables. More recently, attention has been drawn to the transformation of the original va…
Impact of existence and nonexistence of pivot on the coverage of empirical best linear prediction intervals for small areas
Yuting Chen, Masayo Y. Hirose, Partha Lahiri
We advance the theory of parametric bootstrap in constructing highly efficient empirical best (EB) prediction intervals of small area means. The coverage error of such a prediction…
Small Area Estimation under Square Root Transformed Fay-Herriot model with Functional Measurement Error in Covariates
Ka Long Keith Ho, Masayo Y. Hirose, Malay Ghosh
We consider a small area estimation model under square-root transformation in the presence of functional measurement error. When measurement error is present, the Bayes predictor c…
Asymptotic Moments Matching to Uniformly Minimum Variance Unbiased Estimation under Ewens Sampling Formula
Masayo Y. Hirose, Shuhei Mano
The Ewens sampling formula is a distribution related to the random partition of a positive integer. In this study, we investigate the issue of non-existence solutions in parameter…
Asymptotic bias reduction of maximum likelihood estimates via penalized likelihoods with differential geometry
Masayo Y. Hirose, Shuhei Mano
A procedure for asymptotic bias reduction of maximum likelihood estimates of generic estimands is developed. The estimator is realized as a plug-in estimator, where the parameter m…
Multi-Goal Prior Selection: A Way to Reconcile Bayesian and Classical Approaches for Random Effects Models
Masayo Y. Hirose, Partha Lahiri
The two-level normal hierarchical model has played an important role in statistical theory and applications. In this paper, we first introduce a general adjusted maximum likelihood…
A New Model Variance Estimator for an Area Level Small Area Model to Solve Multiple Problems Simultaneously
Masayo Yoshimori Hirose, Partha Lahiri
The two-level normal hierarchical model (NHM) has played a critical role in the theory of small area estimation (SAE), one of the growing areas in statistics with numerous applicat…
Second-order unbiased naive estimator of mean squared error for EBLUP in small-area estimation
Masayo Yoshimori Hirose
An empirical best linear unbiased prediction (EBLUP) estimator is utilized for efficient inference in small-area estimation. To measure its uncertainty, we need to estimate its mea…
Non-area-specific adjustment factor for second-order efficient empirical Bayes confidence interval
Masayo Y. Hirose
An empirical Bayes confidence interval has high user demand in many applications. In particular, the second-order empirical Bayes confidence interval, the coverage error of which i…