The ANOVA analysis of variance test is a fantastic tool when your data follows the normal distribution. Should your data fall ...

id=7022). 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 ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

There are three measures of central tendency for data. One is the mean or x-bar, and the others are the median and mode. When ...

You are now ready to perform statistical analysis of your results, but first, you have to choose a critical value at which to reject your null hypothesis. You opt for a critical value probability ...

Current areas of interest include time series (including high-dimensional and non-stationary time series), data science and machine learning, networks (including dynamical networks), high-dimensional ...

Imagine: You're in charge of marketing for a major automaker, and your biggest competitor just recalled thousands of vehicles. Now customers are worried about the safety of cars like yours. Do you ...

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 ...

The sensitivity analyses, conducted by an independent statistical group, demonstrate the robustness of the results of the previously reported primary endpoint analysis, with representative hazard ...