It is of interest to know what the covariance of sample mean and sample variance is without the assumption of normality. In this article we study such a problem. We show a simple derivation of the ...

In most books on time series analysis, estimators of the variance and autocovariance for a stationary process are discussed under the assumption that the process mean is known. Here we illustrate that ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

Charlene Rhinehart is a CPA , CFE, chair of an Illinois CPA Society committee, and has a degree in accounting and finance from DePaul University. Vikki Velasquez is a researcher and writer who has ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...