Browse Items (16 total)

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…

Successful management of wildlife populations requires accurate estimates of abundance. Abundance estimates can be confounded by imperfect detection during wildlife
surveys. N-mixture models enable quantification of detection probability and, under…

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…

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.…

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…

MultiBUGS is a new version of the general-purpose Bayesian modeling software BUGS
that implements a generic algorithm for parallelizing Markov chain Monte Carlo (MCMC)
algorithms to speed up posterior inference of Bayesian models. The algorithm…

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…

Applications of multiple imputation have long outgrown the traditional context of
dealing with item nonresponse in cross-sectional data sets. Nowadays multiple imputation is also applied to impute missing values in hierarchical data sets, address…

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…