{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:BWV55ZENPJ5YNO5D6HZHHMLTLU","short_pith_number":"pith:BWV55ZEN","schema_version":"1.0","canonical_sha256":"0dabdee48d7a7b86bba3f1f273b1735d066055b94e22b34970e099b263bff25d","source":{"kind":"arxiv","id":"1507.01548","version":1},"attestation_state":"computed","paper":{"title":"Tail product-limit process for truncated data with application to extreme value index estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Abdelhakim Necir, Djamel Meraghni, Souad Benchaira","submitted_at":"2015-07-06T17:42:38Z","abstract_excerpt":"A weighted Gaussian approximation to tail product-limit process for Pareto-like distributions of randomly right-truncated data is provided and a new consistent and asymptotically normal estimator of the extreme value index is derived. A simulation study is carried out to evaluate the finite sample behavior of the proposed estimator."},"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":"1507.01548","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.ST","submitted_at":"2015-07-06T17:42:38Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"f8fa58cb46f77acd2ac9763ec4c7ab7b878237823a96aef43548d3221054079a","abstract_canon_sha256":"98efdd9d804c98d59d4495fdf18897d539a62c667ac3e3bfcc777570f5b191c1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:37:16.625241Z","signature_b64":"HOGpKIekESYMlmmyT74HYhgYPdH5PxMlcvMPcMAA3b2M7kVdU1O+zDvESP7GDiDfZgNq5sNUVqfvXfU0qBk9CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0dabdee48d7a7b86bba3f1f273b1735d066055b94e22b34970e099b263bff25d","last_reissued_at":"2026-05-18T01:37:16.624608Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:37:16.624608Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Tail product-limit process for truncated data with application to extreme value index estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Abdelhakim Necir, Djamel Meraghni, Souad Benchaira","submitted_at":"2015-07-06T17:42:38Z","abstract_excerpt":"A weighted Gaussian approximation to tail product-limit process for Pareto-like distributions of randomly right-truncated data is provided and a new consistent and asymptotically normal estimator of the extreme value index is derived. A simulation study is carried out to evaluate the finite sample behavior of the proposed estimator."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1507.01548","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":"1507.01548","created_at":"2026-05-18T01:37:16.624712+00:00"},{"alias_kind":"arxiv_version","alias_value":"1507.01548v1","created_at":"2026-05-18T01:37:16.624712+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1507.01548","created_at":"2026-05-18T01:37:16.624712+00:00"},{"alias_kind":"pith_short_12","alias_value":"BWV55ZENPJ5Y","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_16","alias_value":"BWV55ZENPJ5YNO5D","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_8","alias_value":"BWV55ZEN","created_at":"2026-05-18T12:29:14.074870+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/BWV55ZENPJ5YNO5D6HZHHMLTLU","json":"https://pith.science/pith/BWV55ZENPJ5YNO5D6HZHHMLTLU.json","graph_json":"https://pith.science/api/pith-number/BWV55ZENPJ5YNO5D6HZHHMLTLU/graph.json","events_json":"https://pith.science/api/pith-number/BWV55ZENPJ5YNO5D6HZHHMLTLU/events.json","paper":"https://pith.science/paper/BWV55ZEN"},"agent_actions":{"view_html":"https://pith.science/pith/BWV55ZENPJ5YNO5D6HZHHMLTLU","download_json":"https://pith.science/pith/BWV55ZENPJ5YNO5D6HZHHMLTLU.json","view_paper":"https://pith.science/paper/BWV55ZEN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1507.01548&json=true","fetch_graph":"https://pith.science/api/pith-number/BWV55ZENPJ5YNO5D6HZHHMLTLU/graph.json","fetch_events":"https://pith.science/api/pith-number/BWV55ZENPJ5YNO5D6HZHHMLTLU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BWV55ZENPJ5YNO5D6HZHHMLTLU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BWV55ZENPJ5YNO5D6HZHHMLTLU/action/storage_attestation","attest_author":"https://pith.science/pith/BWV55ZENPJ5YNO5D6HZHHMLTLU/action/author_attestation","sign_citation":"https://pith.science/pith/BWV55ZENPJ5YNO5D6HZHHMLTLU/action/citation_signature","submit_replication":"https://pith.science/pith/BWV55ZENPJ5YNO5D6HZHHMLTLU/action/replication_record"}},"created_at":"2026-05-18T01:37:16.624712+00:00","updated_at":"2026-05-18T01:37:16.624712+00:00"}