JSTOR Daily

Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...
JSTOR Daily

Using and Evaluating ISEE, a New Computer Program for Teaching Sampling and Statistical Inference

The importance of teaching statistical sampling is matched only by the difficulty encountered by many social science students in grasping its theory and application. This paper briefly discusses the ...
Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
Investopedia

Sampling Distribution: Definition, How It's Used, and Example

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...