Publication2024
Estimation in a multicomponent stress-strength model for progressive censored lognormal distribution
- Industry, Innovation and Infrastructure
- Partnerships for the Goals
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 1 June 2024
- Level
- International — held abroad
- Journal
- Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
- Volume
- 238
- Issue
- 3
- Pages
- 622-642
- Published
- 1 June 2024
- DOI
- 10.1177/1748006x231156841
- Scopus ID
- 85150500384
- ISSN
- 1748006X
- Authors
- 4
- Open access
- No
- Citations
- 13
- International co-authorship
- Yes
- Co-author countries
- CN, IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Multicomponent stress-strength reliability estimation under progressive censoring advances research methodology in lognormal distribution statistical analysis.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-3 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Multicomponent stress-strength reliability estimation under progressive censoring advances research methodology in lognormal distribution statistical analysis.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Estimation in a multicomponent stress-strength model for progressive censored lognormal distribution”. Kortex.