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Small Area Estimation under Spatial Multivariate Fay–Herriot Model
hukum chandra, Saurav Guha. Not indexed, 2021-02-17
Topic: Risk, prevention and care in population studies
Spatial version of multivariate Fay–Herriot model is introduced and small area predictor under this model is proposed. The mean squared error (MSE) estimation of the proposed small area predictor is also developed. The empirical performance of the proposed small area predictor and the MSE estimator are evaluated through simulation studies. The empirical results clearly show that the proposed small area predictor outperforms the existing predictors. The proposed MSE estimator tracks the actual value of MSE reasonably well with acceptable coverage rate. An application to estimate the disparities in food and nutrition intake from the 2011–12 Household Consumer Expenditure Survey data collected by the national sample survey office of India is also presented.
Key findings
- The empirical results clearly show that the proposed small area predictor outperforms the existing predictors.
Why it matters
This study is about a statistical model for small area estimation, not Alzheimer's disease, so it does not provide information on treating, curing or preventing Alzheimer's. It found that the proposed predictor performed better than existing predictors in simulations.
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Study details
- Evidence strengthLow
How this study scored 28/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, impact for its field and year and institution's track record, so those were left out: it earned 24 of the 87 points we could judge it on, which is 28 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Not indexed) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2021 — within 6 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 1 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.1 citations a year over 7 year(s) since 2021 |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 0 / 4 | Cited 0 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Saurav Guha: h-index 7 (OpenAlex, whole career) |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | 0 / 3 | OpenAlex lists 0 institution(s) in 0 countries — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 24 / 87 | Scored on 17 of 20 parts. We have no data for the rest, so they are left out: 24 of the 87 points we could judge it on is 28 out of 100. |
| Total | 28 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. This record has no journal, so the citation leaves it out. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
APA 7th
chandra, h., & Guha, S. (2021). Small Area Estimation under Spatial Multivariate Fay–Herriot Model. https://doi.org/10.31124/advance.13944128
Vancouver
chandra h, Guha S. Small Area Estimation under Spatial Multivariate Fay–Herriot Model. 2021. doi:10.31124/advance.13944128.
BibTeX
@article{chandra2021-3fc4d20a,
author = {chandra, hukum and Guha, Saurav},
title = {{Small Area Estimation under Spatial Multivariate Fay–Herriot Model}},
year = {2021},
doi = {10.31124/advance.13944128},
url = {https://doi.org/10.31124/advance.13944128}
}
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