{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:V2YFDSCQC4UZD6RD3BRKYLXQ63","short_pith_number":"pith:V2YFDSCQ","schema_version":"1.0","canonical_sha256":"aeb051c850172991fa23d862ac2ef0f6f078c9227a89f73a54aea759a6d78de7","source":{"kind":"arxiv","id":"1309.4652","version":1},"attestation_state":"computed","paper":{"title":"Robust T-optimal discriminating designs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Holger Dette, Petr Shpilev, Viatcheslav B. Melas","submitted_at":"2013-09-18T14:04:44Z","abstract_excerpt":"This paper considers the problem of constructing optimal discriminating experimental designs for competing regression models on the basis of the T-optimality criterion introduced by Atkinson and Fedorov [Biometrika 62 (1975) 57-70]. T-optimal designs depend on unknown model parameters and it is demonstrated that these designs are sensitive with respect to misspecification. As a solution to this problem we propose a Bayesian and standardized maximin approach to construct robust and efficient discriminating designs on the basis of the T-optimality criterion. It is shown that the corresponding Ba"},"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":"1309.4652","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2013-09-18T14:04:44Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"e6bf43dfb4478390ebb0e526bc59038a0d46c927d2038cd80632e515f1059912","abstract_canon_sha256":"113d11bcefc0b3de1570e19dcef4e5546de95392a3b1476c5ec177046fd0b429"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:00:49.242146Z","signature_b64":"72yo//YgIaopJZRYriJffs805S7IsP/h2SWMJPONWFctfvBaP/PEy3KdiIokjmCpP89ytOaVwCYZaepvFahsCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aeb051c850172991fa23d862ac2ef0f6f078c9227a89f73a54aea759a6d78de7","last_reissued_at":"2026-05-18T03:00:49.241626Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:00:49.241626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust T-optimal discriminating designs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Holger Dette, Petr Shpilev, Viatcheslav B. Melas","submitted_at":"2013-09-18T14:04:44Z","abstract_excerpt":"This paper considers the problem of constructing optimal discriminating experimental designs for competing regression models on the basis of the T-optimality criterion introduced by Atkinson and Fedorov [Biometrika 62 (1975) 57-70]. T-optimal designs depend on unknown model parameters and it is demonstrated that these designs are sensitive with respect to misspecification. As a solution to this problem we propose a Bayesian and standardized maximin approach to construct robust and efficient discriminating designs on the basis of the T-optimality criterion. It is shown that the corresponding Ba"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1309.4652","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":"1309.4652","created_at":"2026-05-18T03:00:49.241689+00:00"},{"alias_kind":"arxiv_version","alias_value":"1309.4652v1","created_at":"2026-05-18T03:00:49.241689+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1309.4652","created_at":"2026-05-18T03:00:49.241689+00:00"},{"alias_kind":"pith_short_12","alias_value":"V2YFDSCQC4UZ","created_at":"2026-05-18T12:28:02.375192+00:00"},{"alias_kind":"pith_short_16","alias_value":"V2YFDSCQC4UZD6RD","created_at":"2026-05-18T12:28:02.375192+00:00"},{"alias_kind":"pith_short_8","alias_value":"V2YFDSCQ","created_at":"2026-05-18T12:28:02.375192+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/V2YFDSCQC4UZD6RD3BRKYLXQ63","json":"https://pith.science/pith/V2YFDSCQC4UZD6RD3BRKYLXQ63.json","graph_json":"https://pith.science/api/pith-number/V2YFDSCQC4UZD6RD3BRKYLXQ63/graph.json","events_json":"https://pith.science/api/pith-number/V2YFDSCQC4UZD6RD3BRKYLXQ63/events.json","paper":"https://pith.science/paper/V2YFDSCQ"},"agent_actions":{"view_html":"https://pith.science/pith/V2YFDSCQC4UZD6RD3BRKYLXQ63","download_json":"https://pith.science/pith/V2YFDSCQC4UZD6RD3BRKYLXQ63.json","view_paper":"https://pith.science/paper/V2YFDSCQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1309.4652&json=true","fetch_graph":"https://pith.science/api/pith-number/V2YFDSCQC4UZD6RD3BRKYLXQ63/graph.json","fetch_events":"https://pith.science/api/pith-number/V2YFDSCQC4UZD6RD3BRKYLXQ63/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V2YFDSCQC4UZD6RD3BRKYLXQ63/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V2YFDSCQC4UZD6RD3BRKYLXQ63/action/storage_attestation","attest_author":"https://pith.science/pith/V2YFDSCQC4UZD6RD3BRKYLXQ63/action/author_attestation","sign_citation":"https://pith.science/pith/V2YFDSCQC4UZD6RD3BRKYLXQ63/action/citation_signature","submit_replication":"https://pith.science/pith/V2YFDSCQC4UZD6RD3BRKYLXQ63/action/replication_record"}},"created_at":"2026-05-18T03:00:49.241689+00:00","updated_at":"2026-05-18T03:00:49.241689+00:00"}