Clustered covariances or clustered standard errors are very widely used to account for
correlated or clustered data, especially in economics, political sciences, and other social
sciences. They are employed to adjust the inference following…
Large networks of queueing systems model important real-world systems such as
MapReduce clusters, web-servers, hospitals, call centers and airport passenger terminals.
To model such systems accurately, we must infer queueing parameters from data.…
We describe the R package acebayes and demonstrate its use to find Bayesian optimal
experimental designs. A decision-theoretic approach is adopted, with the optimal design
maximizing an expected utility. Finding Bayesian optimal designs for…
The distribution of the Kolmogorov-Smirnov (KS) test statistic has been widely studied under the assumption that the underlying theoretical cumulative distribution function
(CDF), F(x), is continuous. However, there are many real-life applications…
Testing the equality of several independent group means is a common statistical practice in the social sciences. The traditional analysis of variance (ANOVA) is one of the most
popular methods. However, the ANOVA F test is sensitive to violations of…
Survival analysis features heavily as an important part of health economic evaluation,
an increasingly important component of medical research. In this setting, it is important
to estimate the mean time to the survival endpoint using limited…
The phonics package provides several functions for indexing words by their English
language pronunciation. Over nearly one hundred years, many different algorithms have
been developed to support word and name indexing. From Soundex, developed in…
Image reconstruction from noisy data has a long history of methodological development
and is based on a variety of ideas. In this paper we introduce a new method called patchwise adaptive smoothing, that extends the propagation-separation approach…
The Data Envelopment Analysis Toolbox is a new package for MATLAB that includes
functions to calculate the main data envelopment analysis models. The package includes
code for the standard radial input, output and additive measures, allowing for…
We describe the features and implementation of the R package zenplots (zigzag expanded navigation plots) for displaying high-dimensional data according to the recently
proposed zenplots.
By default, zenplots lay out alternating one- and…