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〈Statistical Science / Small Area Estimation〉
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A lab that studies small area estimation, a statistical method for estimating the characteristic values of each small area.
AboutAbout the lab
Capturing the reality of each small area through statistics.
Associate Professor Masayo Hirose studies small area estimation, a statistical method that estimates the characteristic values of each small area from survey data.
The lab works on both the theory and the applications of methods that can improve the accuracy of estimation through statistical models.
The lab believes that using such methods to produce high-quality data and connecting it to useful planning can strengthen expectations for solving social issues.
The research keywords are statistical science, small area estimation, and mixed-effects models.
Key terms
- Small area estimation
- A method that uses statistical models to estimate the values of each small area from survey data
- EBPM
- Short for Evidence Based Policy Making. Making policy based on evidence
ResearchResearch themes
In recent years, the importance of evidence-based policymaking (EBPM) has been recognized, and expectations are also growing for careful planning based on an understanding of the actual situation in each small area. This research studies the theory and applications of statistical methods for estimating the characteristic values of each small area.
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MembersFaculty
- Associate ProfessorMasayo Hirose
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images.
- Top image: “Colorado census statistical areas 2020” Buaidh / CC0 (cropped)
- Theory and Applications of Statistical Inference for Small Areas: “Charleroi-carte topographique de 1873” Jmh2o (pour l'assemblage) / Public domain (cropped)
- Related lab (Statistical Science and Small Area Estimation Lab (Masayo Hirose)): “1922 Index of Great Trigonometrical Survey of India” Survey of India, Government of India / Public domain (cropped)
- Related lab (Statistical Analysis and Sparse Estimation Lab): “Factor rotatie” Frederik Beuk / Public domain (cropped)
- Related lab (Statistical Analysis and Sparse Estimation Lab (Kei Hirose)): “Data Analysis ( )” IAEA Imagebank / CC BY 2.0 (cropped)
- Related lab (〈Bayesian Statistics / Uncertainty Quantification〉): “VLT 4LGSF OTA L2 lens measurement on NANOMEFOS (tno kamphues 22)” F. Kamphues/TNO/ESO / CC BY 4.0 (cropped)
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