Website Uptime Monitor
Monitor website availability and server information for any domain
Current Status
Status
Active
Server Type
Apache/2.4.62 (Unix)
Page Title
Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics
Meta Description
BJEDIS – Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics. A peer-reviewed open-access journal focused on applied statistics, machine learning, nanoscience, experimental design, and modeling.
Meta Keywords
BJEDIS, Experimental Design, Design of Experiments, DoE, Data Analysis, Inferential Statistics, Multivariate Analysis, Regression, ANOVA, Machine Learning, Deep Learning, Neural Networks, Bayesian Inference, Monte Carlo Simulation, Artificial Intelligence, Nanoanalytics, Nanostatistics, Nanomaterials, Computational Modeling, Statistical Learning, Smart Materials, Predictive Modeling, Open Access, Statistical Methods, Research Methodology, Quantitative Science
Most Recent Data
0 hours, 0 minutes ago
Historical Data
| Date | Status | Server |
|---|---|---|
| 12/1/2025, 5:24:23 PM | Active | Apache/2.4.62 (Unix) |
| 11/12/2025, 11:19:32 AM | Active | Apache/2.4.62 (Unix) |
| 11/11/2025, 2:31:46 AM | Active | Apache/2.4.62 (Unix) |
About Website Uptime Monitoring
Use the Who.is uptime information to track the availability and server information of websites. This helps track:
- Website availability and response status
- Server software and configuration
- Meta information including titles and descriptions
- Historical uptime patterns
This information is valuable for website owners, system administrators, and anyone interested in monitoring website reliability and performance.
Disclaimer: Who.is is not affiliated with, endorsed by, or connected to any of the domains displayed on this page. We provide this information as a public service for informational purposes only.
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Metrics we monitor
- Uptime Percentage: The percentage of time your website is accessible
- Response Time: How quickly your server responds to requests
- Status Codes: HTTP response codes indicating server status