Listar por autor "Reluga, Katarzyna"

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Bootstrap-based statistical inference for linear mixed effects under misspecifications

Reluga, Katarzyna; Lombardía, María José; Sperlich, Stefan (Elsevier, 2024)

[Abstract]: Linear mixed effects are considered excellent predictors of cluster-level parameters in various domains. However, previous research has demonstrated that their performance is affected by departures from model ...
Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas

Reluga, Katarzyna; Lombardía, María José; Sperlich, Stefan (Taylor and Francis Group, 2023-01)

[Abstract]: Today, generalized linear mixed models (GLMM) are broadly used in many fields. However, the development of tools for performing simultaneous inference has been largely neglected in this domain. A framework for ...
Simultaneous inference for linear mixed model parameters with an application to small area estimation

Reluga, Katarzyna; Lombardía, María José; Sperlich, Stefan (John Wiley & Sons, 2022)

[Abstract]: Over the past decades, linear mixed models have attracted considerable attention in various fields of applied statistics. They are popular whenever clustered, hierarchical or longitudinal data are investigated. ...