With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk ...

Moment inequalities provide a framework to extract reliable information from models where parameters cannot be precisely identified. Owing to either optimisation behaviour by individual agents or ...

The analysis of correlated binary data is pivotal in many fields, particularly in clinical research where paired organ measurements (for example, eyes or ears) inherently exhibit dependency.

A new study reveals that giraffes can use statistical inferences to predict the likelihood of receiving carrot slices rather than zucchini slices, Phys.org reports. According to researchers, this ...

Properties of estimators: unbiasedness, consistency, efficiency and sufficiency. Methods of estimation with particular emphasis given to the method of maximum likelihood. Hypothesis testing and ...

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...

Most statistical methods for interobserver agreement studies involving categorical data focus on dichotomous outcome variables, whereas only a limited number of methods have been developed for nominal ...

This course is compulsory on the BSc in Actuarial Science and BSc in Financial Mathematics and Statistics. This course is available on the BSc in Data Science, BSc in Econometrics and Mathematical ...

All of the captive kea were given the opportunity to participate in the sampling task, but not all of them were interested. (Credit: Amalia Bastos.) Those remarkable kea are at it again: now the ...