Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

CT is one of the most widely used diagnostic imaging tools, but accurately estimating patient radiation dose remains ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...

In this white paper, we’ll review the many steps of today’s common ASIC/SoC power methodologies and tool flows. We’ll then propose ways you can further optimize your power methodology to more quickly ...

Imagine you're cooking a new recipe. You have the ingredients, the instructions and the tools. Yet, as you cook, you run into problems: some ingredients need more prep time, the oven heats unevenly ...

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 ...

In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. Prior knowledge needed: ECEA 5730, ECEA 5731, a Bachelor’s degree in ...

This report presents estimates of the number of unauthorized immigrants in the United States as of July 2023 and for previous years back to 1990. These estimates supersede all previously published Pew ...

The terms Agile and estimations don't align perfectly. Agile is all about responding to change rather than following a plan, while accurate estimations require a fixed plan that doesn't change. It's a ...