Extreme Value Theory (EVT) offers a rigorous framework for the statistical analysis of rare, high-impact events by focusing on the tail behaviour of distributions. This theory underpins methodologies ...

This paper is concerned with a matrix method of deriving the sampling distributions of a large class of statistics directly from the probability law for random samples from a multivariate normal ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

In this note we examine the bias and small sample efficiency of certain estimators for the parameters of a linear regression function when some observations are missing. The estimators studies in this ...

Larry Hatcher, Ph.D. and Edward J. Stepanski, Ph.D. Introduction: The Basics of One-Way ANOVA, Between-Groups Design Example with Significant Differences between Experimental Conditions Understanding ...

Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.

Demand is at an all-time high for data analysts who can help organizations, technology companies, governments, and nonprofit agencies grasp their organizational, societal, and scientific needs. The ...

This course is compulsory on the BSc in Econometrics and Mathematical Economics and BSc in Economics. This course is available as an outside option to students on other programmes where regulations ...

A user-friendly guide beneficial to both researchers and students of the social sciences, this book provides a very comprehensive introduction of the SAS System and elementary statistical procedures.

This course is compulsory on the BSc in Actuarial Science, BSc in Actuarial Science (with a Placement Year), BSc in Data Science, BSc in Finance, BSc in Financial Mathematics and Statistics, BSc in ...