Información*
| Nombre | HECTOR ERNESTO NAJERA CATALAN |
|---|---|
| Área | CIENCIAS SOCIALES |
| Campo | SOCIOLOGÍA |
| Disciplina | SOCIOLOGÍA MATEMÁTICA |
| Especialidad | MEDIDA Y CONSTRUCCION DE INDICES |
| CVU | 244703 |
| Institución | |
|---|---|
| Dependencia | COORDINACION DE HUMANIDADES |
| Entidad | CIUDAD DE MEXICO |
| Nivel | 2 |
| Vigencia | Inicio: 01/01/2024 |
| Fin: 31/12/2028 |
* Información del primer trimestre de 2026.
Fuente: SECIHTI.
Publicaciones ORCID
- 2026
- Small-Area Estimation and Systematic Errors in Categorical Response Variables: A Hierarchical Bayesian Approach for Correction Measurement: Interdisciplinary Research and Perspectives
- A Bayesian Approach for Valid and Credible Inferences on the 2010–2020 Changes in Multidimensional Poverty in Mexico at Municipal Level Social Indicators Research
- 2025
- The scope of consensual deprivation indices for Mexico: reliability, criterion validity and invariance analyses Quality & Quantity
- 2024
- Municipal-level estimates (2020) of adult obesity in Mexico drawn from a hierarchical Bayesian estimator GeoJournal
- 2023
- Medición de pobreza en América Latina: un estudio comparativo Revista Temas Sociológicos
- Patterns of Womenʼs exposure to psychological violence: A global examination of low- and middle-income countries SSM - Population Health
- An Entropy-Based Approach to Measuring Diet Adherence Entropy
- A Monte Carlo Study of Some Empirical Methods to Find the Optimal Poverty Line in Multidimensional Poverty Measurement Social Indicators Research
- Un año de contagio municipal por el SARS-CoV-2 en México: análisis jerárquico-espacial bayesiano Estudios Sociológicos de El Colegio de México
- Misclassification Error, Binary Regression Bias, and Reliability in Multidimensional Poverty Measurement: An Estimation Approach Based on Bayesian Modelling Measurement: Interdisciplinary Research and Perspectives