期刊: AMERICAN STATISTICIAN, 2021; 75 (2)
A fundamental issue in statistics is parameter estimation, where the first step is to select estimators under some measure of estimation error. The co......
期刊: AMERICAN STATISTICIAN, ; ()
The jackknife is a reliable tool for reducing the bias of a wide range of estimators. This note demonstrates that even such versatile tools have regul......
期刊: AMERICAN STATISTICIAN, 2019; 73 (3)
Disease mapping focuses on learning about areal units presenting high relative risk. Disease mapping models assume that the disease counts are distrib......
期刊: AMERICAN STATISTICIAN, 0; ()
The correlation coefficient is a commonly used criterion to measure the strength of a linear relationship between the two quantitative variables. For ......
期刊: AMERICAN STATISTICIAN, 2018; 72 (4)
Statistical inference about parameters should depend on raw data only through sufficient statistics-the well known sufficiency principle. In particula......
期刊: AMERICAN STATISTICIAN, 2017; 71 (1)
The Bernoulli and Poisson processes are two popular discrete count processes; however, both rely on strict assumptions. We instead propose a generaliz......