The Center for Statistics and Advance Analytics provides support to Boston College researchers related to the collection and the analysis of data. This includes Data Science, Geographic Information ...

Math is applied to nearly every field and industry, and studying statistics and data analysis prepares students for many opportunities. Our students explore traditional statistical methods as well as ...

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

Methods that are based on a statistical model such as this include maximum likelihood, in which estimates and standard errors are based on the likelihood function given the observed data; Bayesian ...

The statistical software R will constitute an integral part of the course, providing hands-on experience of data analysis. The syllabus will consist of: Part I - Introduction - Statistical Software: R ...

Applied statistics is data analysis. It’s managing, analyzing, interpreting, and drawing conclusions from data in order to make sound decisions in a wide range of fields, including engineering, ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

It’s a source for unique statistics and analysis based on a mix of original public opinion polling and data other sources. In contrast with The Brookings Institution, Pew Research Center does ...

Doubly truncated data arise when the variable of interest is observable only if it falls between pre‐specified lower and upper bounds. This phenomenon poses significant challenges to statistical ...

This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models and ...