There has recently been considerable interest in addressing the problem of unifying distributed statistical analyses into a single coherent inference. This naturally arises number situations, including big-data settings, when working under privacy constraints, and Bayesian model choice. The majority existing approaches have relied upon convenient approximations analyses. Although typically bein...

Within the project “Corpus grammar” (Korpusgrammatik) at the Institute for the German Language (Institut für Deutsche Sprache, IDS) in Mannheim, techniques and tools are developed for the description of grammatical phenomena based on analyses of very large morphosyntactically annotated corpora. The goal of the project is a corpus-based grammar that captures variations of grammatical structure i...

In this data, the statistical analyses of silicon microwire (SiMW) solar cells are presented for the research article entitled "Electrical and optical properties of Si microwire solar cells" (H.-S. Kim, D. B. Patel, H. Kim, M. Patel, K. R. Chauhan, W. Park, and J. Kim) [1]. This article shows the statistical analyses on performances of the various SiMW solar cells. The accuracy of solar cell pa...

GIS data and methods have the potential to answer questions concerning agriculture that were too complex to even consider formulating until quite recently. Unfortunately for researchers trying to publish findings ranging from the reasons for spatial patterns in the distribution of weeds to options for the placement of straw-based biofuel refineries, the publication process is fraught with extra...

Let P1 be the probability of a disease in one population and P2 be the probability of a disease in a second population. The ratio of these quantities, R = P1/P2, is termed the relative risk. We consider first the analyses of the relative risk from retrospective studies. The relation between the relative risk and the odds ratio (or cross-product ratio) is developed. The odds ratio can be conside...

The performance of disease surveillance systems is evaluated and monitored using a diverse set of statistical analyses throughout each stage of surveillance implementation. An overview of their main elements is presented, with a specific emphasis on syndromic surveillance directed to outbreak detection in resource-limited settings. Statistical analyses are proposed for three implementation stag...

We present the cacher package for R, which provides tools for caching statistical analyses and for distributing these analyses to others in an efficient manner. The cacher package takes objects created by evaluating R expressions and stores them in key-value databases. These databases of cached objects can subsequently be assembled into packages for distribution over the web. The cacher package...

This paper considers the analysis of round robin interaction data whereby individuals from a group of subjects interact with one another, producing a pair of outcomes, one for each individual. The authors provide an overview of the various analyses applied these types of data and extend the work in several directions. In particular, they provide a fully Bayesian analysis for such data, and use ...

This paper concerns the exploration of statistical modelling tools for the analysis of observational freeway ow data, and the development of empirical models to capture and predict short-term changes in tra c ow characteristics on sequences of links in a partially detectorised freeway network. A rst set of analyses explores regression models for minute-by-minute tra c ows, taking into account t...