{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:QI424JO3KKUAL2AXRV6AS25J2L","short_pith_number":"pith:QI424JO3","schema_version":"1.0","canonical_sha256":"8239ae25db52a805e8178d7c096ba9d2df8dd5f7c014aef6f806ef0bbb576c21","source":{"kind":"arxiv","id":"1812.00055","version":1},"attestation_state":"computed","paper":{"title":"Bayesian Sequential Design Based on Dual Objectives for Accelerated Life Tests","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"I-Chen Lee, Lu Lu, Yili Hong","submitted_at":"2018-11-30T20:54:35Z","abstract_excerpt":"Traditional accelerated life test plans are typically based on optimizing the C-optimality for minimizing the variance of an interested quantile of the lifetime distribution. The traditional methods rely on some specified planning values for the model parameters, which are usually unknown prior to the actual tests. The ambiguity of the specified parameters can lead to suboptimal designs for optimizing the intended reliability performance. In this paper, we propose a sequential design strategy for life test plans based on considering dual objectives. In the early stage of the sequential experim"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1812.00055","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-11-30T20:54:35Z","cross_cats_sorted":[],"title_canon_sha256":"86b373bfbdf4a627b5902129136306413bffd715659c62bae4871e9fadefa7ed","abstract_canon_sha256":"9c641498b1c3e249ad2b74d0f9896c4ff490287ed0693e518d28e2552e0dcb81"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:27.437156Z","signature_b64":"8K647K7QCyTZK7heUlhuSa1mSli76kg5IZRtnHtmr7Zyy3cq3Kmfy7PCsIMDXu5R0adNrqLKV9IdgVFD8ZLpBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8239ae25db52a805e8178d7c096ba9d2df8dd5f7c014aef6f806ef0bbb576c21","last_reissued_at":"2026-05-17T23:59:27.436712Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:27.436712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian Sequential Design Based on Dual Objectives for Accelerated Life Tests","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"I-Chen Lee, Lu Lu, Yili Hong","submitted_at":"2018-11-30T20:54:35Z","abstract_excerpt":"Traditional accelerated life test plans are typically based on optimizing the C-optimality for minimizing the variance of an interested quantile of the lifetime distribution. The traditional methods rely on some specified planning values for the model parameters, which are usually unknown prior to the actual tests. The ambiguity of the specified parameters can lead to suboptimal designs for optimizing the intended reliability performance. In this paper, we propose a sequential design strategy for life test plans based on considering dual objectives. In the early stage of the sequential experim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.00055","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1812.00055","created_at":"2026-05-17T23:59:27.436782+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.00055v1","created_at":"2026-05-17T23:59:27.436782+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.00055","created_at":"2026-05-17T23:59:27.436782+00:00"},{"alias_kind":"pith_short_12","alias_value":"QI424JO3KKUA","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_16","alias_value":"QI424JO3KKUAL2AX","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_8","alias_value":"QI424JO3","created_at":"2026-05-18T12:32:46.962924+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QI424JO3KKUAL2AXRV6AS25J2L","json":"https://pith.science/pith/QI424JO3KKUAL2AXRV6AS25J2L.json","graph_json":"https://pith.science/api/pith-number/QI424JO3KKUAL2AXRV6AS25J2L/graph.json","events_json":"https://pith.science/api/pith-number/QI424JO3KKUAL2AXRV6AS25J2L/events.json","paper":"https://pith.science/paper/QI424JO3"},"agent_actions":{"view_html":"https://pith.science/pith/QI424JO3KKUAL2AXRV6AS25J2L","download_json":"https://pith.science/pith/QI424JO3KKUAL2AXRV6AS25J2L.json","view_paper":"https://pith.science/paper/QI424JO3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.00055&json=true","fetch_graph":"https://pith.science/api/pith-number/QI424JO3KKUAL2AXRV6AS25J2L/graph.json","fetch_events":"https://pith.science/api/pith-number/QI424JO3KKUAL2AXRV6AS25J2L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QI424JO3KKUAL2AXRV6AS25J2L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QI424JO3KKUAL2AXRV6AS25J2L/action/storage_attestation","attest_author":"https://pith.science/pith/QI424JO3KKUAL2AXRV6AS25J2L/action/author_attestation","sign_citation":"https://pith.science/pith/QI424JO3KKUAL2AXRV6AS25J2L/action/citation_signature","submit_replication":"https://pith.science/pith/QI424JO3KKUAL2AXRV6AS25J2L/action/replication_record"}},"created_at":"2026-05-17T23:59:27.436782+00:00","updated_at":"2026-05-17T23:59:27.436782+00:00"}