This Collection welcomes primary research articles describing advances in computational and statistical methodology for ecology and evolution.

An overview of the statistical methods needed for undergraduate research emphasizing methods for data collection, data description and statistical inference including an introduction to study design, ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform more efficiently and maximize profit.

This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

This paper provides an overview of common assumptions and details methods for assumption verification, including residual analysis, normality tests, and variance inflation factors.

Learning how to perform statistical data analysis in Microsoft Excel can help you improve your analytics and reporting. This guide takes you ...

Intelligent systems rely on data collected across diverse sensing modalities (such as time, frequency and 3D space) and organize them in multi-dimensional arrays, also referred to as “tensors.” ...

Innovative data collection technologies are transforming the way data is generated, collected, and analyzed. Data is helping monitor and address complex global sustainable development challenges such ...

This Issue Brief surveys several key methods, including Benford’s Law, Bayesian finite mixture modeling, and outlier analysis, along with a range of other statistical techniques.