“Medicine is a science of uncertainty and an art of probability” claimed William Osler. 1, 2
History, physical examination, imaging, electrocardiogram, and laboratory investigations are …

Various bootstraps have been proposed for bootstrapping clustered data from one-way
arrays. The simulation results in the literature suggest that some of these methods work quite …

Estimation in (linear) multilevel models usually relies on maximum likelihood (ML) methods.
The various computer programs for multilevel analysis employ versions of full information …

In the article, it is shown that in panel data models the Hausman test (HT) statistic can be
considerably refined using the bootstrap technique. Edgeworth expansion shows that the …

The paper develops a general Bayesian framework for robust linear static panel data
models using ε-contamination. A two-step approach is employed to derive the conditional …

This paper extends the Baltagi et al.(J Econom 202: 108–123, 2018; Advances in
econometrics, essays in honor of M. Hashem Pesaran, Emerald Publishing, Bingley, 2021) …

This paper considers bootstrap methods for panel data. Theoretical results are provided for
the sample mean. It is shown that the resampling only in the cross section dimension is not …

In this paper, we study the non-IID learning setting where samples exhibit dependency
within latent clusters. Our goal is to estimate a learner's loss on new clusters, an extension of …

Бутстрап–это статистический метод, наиболее часто реализуемый с помощью
симуляций. Симуляция не являются неотъемлемым элементом бутстрапа, хотя на …

The purpose of this thesis is to develop bootstrap methods for panel data models and to
prove their validity. Panel data refers to data sets where observations on individual units …