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Journal of Official Statistics

Volume 38 (2022): Issue 3 (September 2022)

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9 Articles
Accès libre | 12 sept. 2022
Construction of Databases for Small Area Estimation
Emily Berg
Emily Berg
  
Accès libre | 12 sept. 2022
Hierarchical Bayesian Model with Inequality Constraints for US County Estimates
Lu Chen
Lu Chen
, 
Balgobin Nandram
Balgobin Nandram
 et 
Nathan B. Cruze
Nathan B. Cruze
  
Accès libre | 12 sept. 2022
Timely Estimates of the Monthly Mexican Economic Activity
Francisco Corona
Francisco Corona
, 
Graciela González-Farías
Graciela González-Farías
 et 
Jesús López-Pérez
Jesús López-Pérez
  
Accès libre | 12 sept. 2022
Small Domain Estimation of Census Coverage – A Case Study in Bayesian Analysis of Complex Survey Data
Joane S. Elleouet
Joane S. Elleouet
, 
Patrick Graham
Patrick Graham
, 
Nikolai Kondratev
Nikolai Kondratev
, 
Abby K. Morgan
Abby K. Morgan
 et 
Rebecca M. Green
Rebecca M. Green
  
Accès libre | 12 sept. 2022
Identifying Data Quality Challenges in Online Opt-In Panels Using Cognitive Interviews in English and Spanish
Yazmín García Trejo
Yazmín García Trejo
, 
Mikelyn Meyers
Mikelyn Meyers
, 
Mandi Martinez
Mandi Martinez
, 
Angela O’Brien
Angela O’Brien
, 
Patricia Goerman
Patricia Goerman
 et 
Betsarí Otero Class
Betsarí Otero Class
  
Accès libre | 12 sept. 2022
Measuring and Mapping Micro Level Earning Inequality towards Addressing the Sustainable Development Goals – A Multivariate Small Area Modelling Approach
Saurav Guha
Saurav Guha
 et 
Hukum Chandra
Hukum Chandra
  
Accès libre | 12 sept. 2022
Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)
Daniel Hopp
Daniel Hopp
  
Accès libre | 12 sept. 2022
Variable Inclusion Strategies through Directed Acyclic Graphs to adjust Health Surveys subject to Selection Bias for Producing National Estimates
Yan Li
Yan Li
, 
Katherine E. Irimata
Katherine E. Irimata
, 
Yulei He
Yulei He
 et 
Jennifer Parker
Jennifer Parker
  
Accès libre | 12 sept. 2022
Pseudo Bayesian Mixed Models under Informative Sampling
Terrance D. Savitsky
Terrance D. Savitsky
 et 
Matthew R. Williams
Matthew R. Williams
  

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eISSN:
2001-7367
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Mathematics, Probability and Statistics
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