{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:UAZJLSZESVZVES6JST2JSVCYGX","short_pith_number":"pith:UAZJLSZE","schema_version":"1.0","canonical_sha256":"a03295cb249573524bc994f499545835ce6cd48c388d546ec19a875413d722f3","source":{"kind":"arxiv","id":"1812.03428","version":1},"attestation_state":"computed","paper":{"title":"Bootstrapping F test for testing Random Effects in Linear Mixed Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"A.H. Welsh, Francis Hui, P.Y. O'Shaughnessy, Samuel Muller","submitted_at":"2018-12-09T04:41:27Z","abstract_excerpt":"Recently Hui et al. (2018) use F tests for testing a subset of random effect, demonstrating its computational simplicity and exactness when the first two moment of the random effects are specified. We extended the investigation of the F test in the following two aspects: firstly, we examined the power of the F test under non-normality of the errors. Secondly, we consider bootstrap counterparts to the F test, which offer improvement for the cases with small cluster size or for the cases with non-normal errors."},"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":"1812.03428","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-12-09T04:41:27Z","cross_cats_sorted":[],"title_canon_sha256":"33e1d3e88a139cc9fe3753ca60df715fd444f6248acb58cd90ae2f19ed36d766","abstract_canon_sha256":"1d17301230d4a1249e94954a235b3e8210b49f99a61673e40bf6a69dd2bf00f7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:46.278045Z","signature_b64":"axqj6svUCMqYF8gi97E8LBmCHXh+SKJU8VXwBrYG4adwpHQSv9zUK8kk0cFuN4MLRYSRqkxdP3INaLC9wlXPCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a03295cb249573524bc994f499545835ce6cd48c388d546ec19a875413d722f3","last_reissued_at":"2026-05-17T23:58:46.277638Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:46.277638Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bootstrapping F test for testing Random Effects in Linear Mixed Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"A.H. Welsh, Francis Hui, P.Y. O'Shaughnessy, Samuel Muller","submitted_at":"2018-12-09T04:41:27Z","abstract_excerpt":"Recently Hui et al. (2018) use F tests for testing a subset of random effect, demonstrating its computational simplicity and exactness when the first two moment of the random effects are specified. We extended the investigation of the F test in the following two aspects: firstly, we examined the power of the F test under non-normality of the errors. Secondly, we consider bootstrap counterparts to the F test, which offer improvement for the cases with small cluster size or for the cases with non-normal errors."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.03428","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":"1812.03428","created_at":"2026-05-17T23:58:46.277703+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.03428v1","created_at":"2026-05-17T23:58:46.277703+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.03428","created_at":"2026-05-17T23:58:46.277703+00:00"},{"alias_kind":"pith_short_12","alias_value":"UAZJLSZESVZV","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_16","alias_value":"UAZJLSZESVZVES6J","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_8","alias_value":"UAZJLSZE","created_at":"2026-05-18T12:32:56.356000+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/UAZJLSZESVZVES6JST2JSVCYGX","json":"https://pith.science/pith/UAZJLSZESVZVES6JST2JSVCYGX.json","graph_json":"https://pith.science/api/pith-number/UAZJLSZESVZVES6JST2JSVCYGX/graph.json","events_json":"https://pith.science/api/pith-number/UAZJLSZESVZVES6JST2JSVCYGX/events.json","paper":"https://pith.science/paper/UAZJLSZE"},"agent_actions":{"view_html":"https://pith.science/pith/UAZJLSZESVZVES6JST2JSVCYGX","download_json":"https://pith.science/pith/UAZJLSZESVZVES6JST2JSVCYGX.json","view_paper":"https://pith.science/paper/UAZJLSZE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.03428&json=true","fetch_graph":"https://pith.science/api/pith-number/UAZJLSZESVZVES6JST2JSVCYGX/graph.json","fetch_events":"https://pith.science/api/pith-number/UAZJLSZESVZVES6JST2JSVCYGX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UAZJLSZESVZVES6JST2JSVCYGX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UAZJLSZESVZVES6JST2JSVCYGX/action/storage_attestation","attest_author":"https://pith.science/pith/UAZJLSZESVZVES6JST2JSVCYGX/action/author_attestation","sign_citation":"https://pith.science/pith/UAZJLSZESVZVES6JST2JSVCYGX/action/citation_signature","submit_replication":"https://pith.science/pith/UAZJLSZESVZVES6JST2JSVCYGX/action/replication_record"}},"created_at":"2026-05-17T23:58:46.277703+00:00","updated_at":"2026-05-17T23:58:46.277703+00:00"}