ขอเชิญร่วมฟังบรรยายเรื่อง “A Nested Error Regression Model with High Dimensional Parameter for Small Area Estimation”
by Partha Lahiri
from University of Maryland College Park, USA
ในวันพุธที่ 19 กรกฎาคม 2566 เวลา 15.00 – 16.30 น. ณ ห้อง 1309A ชั้น 13 ควบคู่กับ Facebook Live (https://www.facebook.com/math.cu.seminar)
Abstract: In this paper we propose a flexible nested error regression small area model with high dimensional parameter that incorporates heterogeneity in regression coefficients and variance components. We develop a new robust small area specific estimating equations method that allows appropriate pooling of many areas in estimating small area specific model parameters. We propose a parametric bootstrap and jackknife method to estimate not only the mean squared errors but also other commonly used uncertainty measures such as standard errors and coefficients of variation. We conduct both model-based and design-based simulation experiments and real-life data analysis to evaluate the proposed methodology.
The talk is based on my recent joint paper with Dr. N. Salvati, Dipartimento di Economia e Management, Universita di Pisa, Italy.
โปรดลงทะเบียนได้ที่ https://docs.google.com/forms/d/e/1FAIpQLSe3vuTYwCUtS-PA0t-mwWqK3TwgNZ73NF8O1ygcdHl-P5wOYA/viewform
