{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:NKMETR5CNC4YRKTNRUYJ6AWTOY","short_pith_number":"pith:NKMETR5C","schema_version":"1.0","canonical_sha256":"6a9849c7a268b988aa6d8d309f02d37609fd6776b8fe0f682122b6791ba2bcec","source":{"kind":"arxiv","id":"1511.01855","version":1},"attestation_state":"computed","paper":{"title":"Survival and lifetime data analysis with a flexible class of distributions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Francisco J. Rubio, Yili Hong","submitted_at":"2015-11-05T19:13:08Z","abstract_excerpt":"We introduce a general class of continuous univariate distributions with positive support obtained by transforming the class of two-piece distributions. We show that this class of distributions is very flexible, easy to implement, and contains members that can capture different tail behaviours and shapes, producing also a variety of hazard functions. The proposed distributions represent a flexible alternative to the classical choices such as the log-normal, Gamma, and Weibull distributions. We investigate empirically the inferential properties of the proposed models through an extensive simula"},"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":"1511.01855","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-11-05T19:13:08Z","cross_cats_sorted":[],"title_canon_sha256":"94c4068ba1f1e4dd0abf74b5925dbbfb555ff4b65722215ba473a3b28b3bb8fb","abstract_canon_sha256":"4006abd0a95b4bd09e1ed2d078e6c0c8c317bfc345253af6be65d24e925a8844"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:27:39.623307Z","signature_b64":"iqObqkhiW3pY2sk+Ujz8EZD/mzFPbJ/CY/NmHR1O59nWysgPKtnjLEl3MV8Uhn5Y+bDAonFz4+mUsWHnI6sQDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a9849c7a268b988aa6d8d309f02d37609fd6776b8fe0f682122b6791ba2bcec","last_reissued_at":"2026-05-18T01:27:39.622893Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:27:39.622893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Survival and lifetime data analysis with a flexible class of distributions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Francisco J. Rubio, Yili Hong","submitted_at":"2015-11-05T19:13:08Z","abstract_excerpt":"We introduce a general class of continuous univariate distributions with positive support obtained by transforming the class of two-piece distributions. We show that this class of distributions is very flexible, easy to implement, and contains members that can capture different tail behaviours and shapes, producing also a variety of hazard functions. The proposed distributions represent a flexible alternative to the classical choices such as the log-normal, Gamma, and Weibull distributions. We investigate empirically the inferential properties of the proposed models through an extensive simula"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.01855","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":"1511.01855","created_at":"2026-05-18T01:27:39.622955+00:00"},{"alias_kind":"arxiv_version","alias_value":"1511.01855v1","created_at":"2026-05-18T01:27:39.622955+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.01855","created_at":"2026-05-18T01:27:39.622955+00:00"},{"alias_kind":"pith_short_12","alias_value":"NKMETR5CNC4Y","created_at":"2026-05-18T12:29:32.376354+00:00"},{"alias_kind":"pith_short_16","alias_value":"NKMETR5CNC4YRKTN","created_at":"2026-05-18T12:29:32.376354+00:00"},{"alias_kind":"pith_short_8","alias_value":"NKMETR5C","created_at":"2026-05-18T12:29:32.376354+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/NKMETR5CNC4YRKTNRUYJ6AWTOY","json":"https://pith.science/pith/NKMETR5CNC4YRKTNRUYJ6AWTOY.json","graph_json":"https://pith.science/api/pith-number/NKMETR5CNC4YRKTNRUYJ6AWTOY/graph.json","events_json":"https://pith.science/api/pith-number/NKMETR5CNC4YRKTNRUYJ6AWTOY/events.json","paper":"https://pith.science/paper/NKMETR5C"},"agent_actions":{"view_html":"https://pith.science/pith/NKMETR5CNC4YRKTNRUYJ6AWTOY","download_json":"https://pith.science/pith/NKMETR5CNC4YRKTNRUYJ6AWTOY.json","view_paper":"https://pith.science/paper/NKMETR5C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1511.01855&json=true","fetch_graph":"https://pith.science/api/pith-number/NKMETR5CNC4YRKTNRUYJ6AWTOY/graph.json","fetch_events":"https://pith.science/api/pith-number/NKMETR5CNC4YRKTNRUYJ6AWTOY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NKMETR5CNC4YRKTNRUYJ6AWTOY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NKMETR5CNC4YRKTNRUYJ6AWTOY/action/storage_attestation","attest_author":"https://pith.science/pith/NKMETR5CNC4YRKTNRUYJ6AWTOY/action/author_attestation","sign_citation":"https://pith.science/pith/NKMETR5CNC4YRKTNRUYJ6AWTOY/action/citation_signature","submit_replication":"https://pith.science/pith/NKMETR5CNC4YRKTNRUYJ6AWTOY/action/replication_record"}},"created_at":"2026-05-18T01:27:39.622955+00:00","updated_at":"2026-05-18T01:27:39.622955+00:00"}