We introduce novel regression extrapolation based methods to correct the often large bias in subsampling variance estimation as well as hypothesis testing for spatial point and marked point processes.

In the presence of covariate measurement error, there has been extensive interest in developing estimation methods for parameters associated with various survival ...

In statistics, p̂ represents the sample proportion or the estimated proportion of a population that possesses a certain ...

This course cannot be taken with ST102 Elementary Statistical Theory, ST107 Quantitative Methods (Statistics) or ST108 Statistical Methods for the Social Sciences. The course provides a precise and ...

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Khadija Khartit is a strategy, investment, and ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

Process capability indices (PCIs) have long served as crucial metrics in assessing the performance and quality of manufacturing processes. Recent advances in statistical estimation techniques have not ...

This course is available to General Course ‘Spring Semester’ students conditional on having studied Michaelmas term content remotely. Note ST102 is part-examined in January. The course provides a ...

Description: Introductory statistical methods, with emphasis on applications in biology. Topics include descriptive statistics, binomial and normal distributions, confidence interval estimation, ...