Estimation of dispersion effects from robust design experiments with censored response data

2001 ◽  
Vol 17 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Abdul H. Chowdhury ◽  
Nasser S. Fard
Keyword(s):  
Robust Design ◽  
Response Data ◽  
Dispersion Effects ◽  
Censored Response ◽  
Design Experiments

Identifying Dispersion Effects in Robust Design Experiments—Issues and Improvements

2007 ◽  
Vol 34 (6) ◽  
pp. 683-699 ◽  
Author(s):  
Lourdes Pozueta ◽  
Xavier Tort-Martorell ◽  
Lluis Marco
Keyword(s):  
Robust Design ◽  
Dispersion Effects ◽  
Design Experiments

Imputation of Censored Response Data in a Bivariate Designed Experiment

2006 ◽  
Vol 19 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Abdul H. Chowdhury ◽  
Rita Aggarwala
Keyword(s):  
Response Data ◽  
Designed Experiment ◽  
Censored Response

scholarly journals Bayesian analysis of censored response data in family-based genetic association studies

2016 ◽  
Vol 58 (5) ◽  
pp. 1039-1053 ◽  
Author(s):  
Fabiola Del Greco M. ◽  
Cristian Pattaro ◽  
Cosetta Minelli ◽  
John R. Thompson
Keyword(s):  
Bayesian Analysis ◽  
Genetic Association ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Response Data ◽  
Family Based ◽  
Censored Response

scholarly journals Food-Away-from-Home Expenditure in Mexico during the COVID-19 Pandemic: A Micro-Econometric Analysis

2021 ◽  
Author(s):  
Antonio Aguilar-Lopez ◽  
Aleš Kuhar
Keyword(s):  
Food Insecurity ◽  
Functional Form ◽  
Step Method ◽  
Budget Share ◽  
Food Away From Home ◽  
Response Data ◽  
Using Data ◽  
Censored Response ◽  
The Impact ◽  
The Relationship

The propagation of the coronavirus disease 2019 (COVID-19) reshaped the relationship between income and food-away-from-home (FAFH) expenditure in Mexico during 2020. Although the number of households participating in this market fell across income deciles and regions due to the pandemic, the impact on their budget shares is not uniform. Using data from the Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) 2020, we estimated an Engel curve of the Working-Lesser functional form for FAFH. Among the independent variables are the number of family members 65 years of age and older, and dummies to indicate whether the household experienced food insecurity or received remittances. The estimation was carried out following the Heckman two-step method, suitable for censored-response data. The results suggest that the budget share for FAFH drops as income increases. The number of older adults and food insecurity discourage the decision to participate in FAFH expenditure and increase its budget share, whereas remittances encourage participation and reduce its budget share. The corrected conditional elasticity is 0.4609; the sign and the magnitude indicate that FAFH is a necessity good.

Noise Variable Settings in Robust Design Experiments

Technometrics ◽  
2012 ◽  
Vol 54 (4) ◽  
pp. 388-397 ◽  
Author(s):  
Derek Bingham ◽  
Vijayan N. Nair
Keyword(s):  
Robust Design ◽  
Design Experiments
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