{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:VOU75P4CBOHRXNRMYRTXRFZS22","short_pith_number":"pith:VOU75P4C","schema_version":"1.0","canonical_sha256":"aba9febf820b8f1bb62cc467789732d69c2af46d5f57508f159f95c7a7d2cb56","source":{"kind":"arxiv","id":"1210.2253","version":2},"attestation_state":"computed","paper":{"title":"Testing approximate normality of an estimator using the estimated MSE and bias with an application to the shape parameter of the generalized Pareto distribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"J. Martin van Zyl","submitted_at":"2012-10-08T12:05:36Z","abstract_excerpt":"Often it is not easy to choose between estimators, based on the estimated MSE and bias using simulation studies. Normality in small samples and a variance of the estimator, which is correct and easy to calculate using a single sample, give the added advantage that hypotheses concerning the parameter can be tested in new samples. A procedure to check normality is proposed where previously published MSE and bias are used to perform a test for normality. A confidence interval for the index of the S&P500 index is found by applying the results to estimators of the generalized Pareto distribution."},"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":"1210.2253","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2012-10-08T12:05:36Z","cross_cats_sorted":[],"title_canon_sha256":"3ab67a374b71ef3957300605fc482a3f866c2ec8d8fdffddc25a8e9de5ac74c6","abstract_canon_sha256":"6e54b8747f57d63734e2f2027e485b55f137acfb2ad577043fb4a930c2b4a180"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:39.589287Z","signature_b64":"DgPnoNX/PDgPvX9t5111KPRbWfPnsYb+xpaxFRhM8i/4j+2AbfURU+50TkUZXNf8dBbh8IGxOBRiHF50couxAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aba9febf820b8f1bb62cc467789732d69c2af46d5f57508f159f95c7a7d2cb56","last_reissued_at":"2026-05-18T00:01:39.588758Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:39.588758Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Testing approximate normality of an estimator using the estimated MSE and bias with an application to the shape parameter of the generalized Pareto distribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"J. Martin van Zyl","submitted_at":"2012-10-08T12:05:36Z","abstract_excerpt":"Often it is not easy to choose between estimators, based on the estimated MSE and bias using simulation studies. Normality in small samples and a variance of the estimator, which is correct and easy to calculate using a single sample, give the added advantage that hypotheses concerning the parameter can be tested in new samples. A procedure to check normality is proposed where previously published MSE and bias are used to perform a test for normality. A confidence interval for the index of the S&P500 index is found by applying the results to estimators of the generalized Pareto distribution."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.2253","kind":"arxiv","version":2},"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":"1210.2253","created_at":"2026-05-18T00:01:39.588830+00:00"},{"alias_kind":"arxiv_version","alias_value":"1210.2253v2","created_at":"2026-05-18T00:01:39.588830+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.2253","created_at":"2026-05-18T00:01:39.588830+00:00"},{"alias_kind":"pith_short_12","alias_value":"VOU75P4CBOHR","created_at":"2026-05-18T12:27:25.539911+00:00"},{"alias_kind":"pith_short_16","alias_value":"VOU75P4CBOHRXNRM","created_at":"2026-05-18T12:27:25.539911+00:00"},{"alias_kind":"pith_short_8","alias_value":"VOU75P4C","created_at":"2026-05-18T12:27:25.539911+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/VOU75P4CBOHRXNRMYRTXRFZS22","json":"https://pith.science/pith/VOU75P4CBOHRXNRMYRTXRFZS22.json","graph_json":"https://pith.science/api/pith-number/VOU75P4CBOHRXNRMYRTXRFZS22/graph.json","events_json":"https://pith.science/api/pith-number/VOU75P4CBOHRXNRMYRTXRFZS22/events.json","paper":"https://pith.science/paper/VOU75P4C"},"agent_actions":{"view_html":"https://pith.science/pith/VOU75P4CBOHRXNRMYRTXRFZS22","download_json":"https://pith.science/pith/VOU75P4CBOHRXNRMYRTXRFZS22.json","view_paper":"https://pith.science/paper/VOU75P4C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1210.2253&json=true","fetch_graph":"https://pith.science/api/pith-number/VOU75P4CBOHRXNRMYRTXRFZS22/graph.json","fetch_events":"https://pith.science/api/pith-number/VOU75P4CBOHRXNRMYRTXRFZS22/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VOU75P4CBOHRXNRMYRTXRFZS22/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VOU75P4CBOHRXNRMYRTXRFZS22/action/storage_attestation","attest_author":"https://pith.science/pith/VOU75P4CBOHRXNRMYRTXRFZS22/action/author_attestation","sign_citation":"https://pith.science/pith/VOU75P4CBOHRXNRMYRTXRFZS22/action/citation_signature","submit_replication":"https://pith.science/pith/VOU75P4CBOHRXNRMYRTXRFZS22/action/replication_record"}},"created_at":"2026-05-18T00:01:39.588830+00:00","updated_at":"2026-05-18T00:01:39.588830+00:00"}