Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from ...

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse ...

The course expands and is a thorough treatment of the theory of statistical inference introduced in earlier courses. The focus is treatment of point estimation and testing of hypotheses. know how ...

Moment inequalities are a crucial concept in statistical inference, particularly in economics and econometrics. They provide a framework for making inferences about parameters of interest when the ...

This repository contains code and analysis related to statistical inference and estimation techniques, focusing on confidence intervals, bootstrap methods, UMVUE, exponential families, and MLE ...

Synchrony Financial has reported its monthly charge-off and delinquency statistics for the thirteen months ending January 31, 2025. The period-end loan receivables decreased from $104.7 billion in ...

In this case, the scientific vulnerability assessment for LNA is important. In this article, the multiparameter statistical inference model is put forward to assess the thermal burnout effect of LNA ...

The Department of Statistics at LSE is one of the oldest and most distinguished in the UK. It has a rich research portfolio covering core areas of statistical inference and real applications, ...

Lukas Lengersdorff and Claus Lamm discuss three misconceptions that stand in the way of an informed discussion.

Short selling involves borrowing shares and then selling them at current market prices. In the successful version of the ...

This course gives an introduction to basic concepts and ideas in this area. The area of causal inference has over the last decades grown to be a very active area within statistics. Various new methods ...