Home›Search›Revista Brasileira de Biometria

Revista Brasileira de Biometria

Universidade Federal de Lavras · Brazil

eISSN1983-0823

✓ DOAJ✓ Open Access

/ 100

High Risk

Score Breakdown

✓ DOAJ Verified+15

Total15

Aims & Scope✦ Inferred from recent articles

This journal publishes research employing statistical and mathematical modeling techniques to analyze diverse data. Topics include survival analysis, regression modeling, time series analysis, spatial statistics, and cluster analysis. Applications span various fields such as health sciences (e.g., cancer, epidemiology), agriculture (e.g., crop growth, experimental design), animal behavior, and socio-economic indicators.

AI-summarised from recent articles · verify on publisher page →

General Information

Country / RegionBrazil

Primary LanguagePortuguese, English

1st Year Published—

StatusActive

Total Publications—

Visit Journal Website

Submission Info

Peer ReviewDouble anonymous peer review

Review Time—

Acceptance Rate—

OA LicenseCC BY

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

8/12 · 67%

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Do you know the journal / publisher?

Universidade Federal de Lavras

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

1983-0823

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Indexed in a trusted database?

DOAJ

✅

Peer review process documented?

Double anonymous peer review

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Follows ethical publishing standards (COPE)?

N/A

❌

APC fees clearly disclosed?

N/A

✅

Not on predatory/blacklists?

✓ Clean

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Long-term digital preservation?

N/A

❌

Plagiarism detection in place?

N/A

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

Portuguese, English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Research Topics (OpenAlex)

Agricultural and Food SciencesGenetics and Plant BreedingForest ecology and managementStatistical Distribution Estimation and ApplicationsAdvanced Statistical Methods and ModelsStatistical Methods and Bayesian InferenceCOVID-19 epidemiological studiesSpectroscopy and Chemometric AnalysesSoil Geostatistics and MappingBayesian Methods and Mixture Models