Understanding some statistics is important for general science literacy. Below are some common statistics resources that may be useful for your project work. To support your professional development, ...

Data assimilation lies at the heart of numerical weather prediction, enabling the integration of observational data with dynamic atmospheric models to produce more accurate initial conditions and ...

Journal of Coastal Research, Special Issue No. 93: Advances in Water Resources and Exploration (FALL 2019), pp. 119-124 (6 pages) In order to improve the numerical analysis ability of long period wave ...

Gathering and entering numbers on a computer is one of the most laborious aspects of data management. Ten-key data entry expedites this process, focusing only on the number keys, 0 through 9, which ...

In most, if not all, studies we collect data to obtain information about an area of research in which we have an interest. For example, we might want to know the level of dental caries in our area. In ...

Statistics and science have been publicly slammed by some. The issues of climate change and COVID-19, in particular, have stirred accusations of bias, conspiracies, and even hoaxes (Philipp-Muller et ...

Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...