Kernel density estimation (KDE) and nonparametric methods form a cornerstone of contemporary statistical analysis. Unlike parametric approaches that assume a specific functional form for the ...

This chapter provides a review of various AADT estimation methods available in the literature and presents relevant findings, strengths, and weaknesses, as well as an assessment of the methods based ...

Identify characteristics of “good” estimators and be able to compare competing estimators. Construct sound estimators using the techniques of maximum likelihood and method of moments estimation.