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 ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like ...

Imputation methods provide essential statistical tools for addressing missing data, thereby minimising bias and enhancing the reliability of parameter estimates. In statistical estimation, missing ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

In statistics, data collection is a difficult process that demands thoughtful consideration. Securing a sufficient sample size can be challenging, or even impossible, regardless of the method employed ...

Description: An introduction to probability theory and the basic statistical estimation methods. Topics include: axiomatic development of probability theory, counting methods, conditional probability ...

In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. Prior knowledge needed: ECEA 5730, ECEA 5731, ECEA 5732, a ...