{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:GDVJHUX2VWLLNVLS7AMX2U47NV","short_pith_number":"pith:GDVJHUX2","schema_version":"1.0","canonical_sha256":"30ea93d2faad96b6d572f8197d539f6d62b5f751ba91d7f1166db227554989d2","source":{"kind":"arxiv","id":"1812.02409","version":1},"attestation_state":"computed","paper":{"title":"Goodness-of-fit testing the error distribution in multivariate indirect regression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Holger Dette, Justin Chown, Nicolai Bissantz","submitted_at":"2018-12-06T09:11:32Z","abstract_excerpt":"We propose a goodness-of-fit test for the distribution of errors from a multivariate indirect regression model. The test statistic is based on the Khmaladze transformation of the empirical process of standardized residuals. This goodness-of-fit test is consistent at the root-n rate of convergence, and the test can maintain power against local alternatives converging to the null at a root-n rate."},"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":"1812.02409","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-12-06T09:11:32Z","cross_cats_sorted":[],"title_canon_sha256":"3cfd742f50d26e557e1e4c1f72b5c07e77e687b9041419345780fe9cc6609513","abstract_canon_sha256":"40e4a4865c4b8fff587ff03162e119ad6b6b2fa44ce3d3287ac15393044a3dcf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:56.386698Z","signature_b64":"SurMoQ4aOFtedfmGy5mAm6DMOve7l3YZTRXx6E7gXZ7F+lC1BV3PY+yVdtLwCABaeb66sN0xvl+1ZpmCz6dNCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30ea93d2faad96b6d572f8197d539f6d62b5f751ba91d7f1166db227554989d2","last_reissued_at":"2026-05-17T23:58:56.386091Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:56.386091Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Goodness-of-fit testing the error distribution in multivariate indirect regression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Holger Dette, Justin Chown, Nicolai Bissantz","submitted_at":"2018-12-06T09:11:32Z","abstract_excerpt":"We propose a goodness-of-fit test for the distribution of errors from a multivariate indirect regression model. The test statistic is based on the Khmaladze transformation of the empirical process of standardized residuals. This goodness-of-fit test is consistent at the root-n rate of convergence, and the test can maintain power against local alternatives converging to the null at a root-n rate."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.02409","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":"1812.02409","created_at":"2026-05-17T23:58:56.386198+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.02409v1","created_at":"2026-05-17T23:58:56.386198+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.02409","created_at":"2026-05-17T23:58:56.386198+00:00"},{"alias_kind":"pith_short_12","alias_value":"GDVJHUX2VWLL","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_16","alias_value":"GDVJHUX2VWLLNVLS","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_8","alias_value":"GDVJHUX2","created_at":"2026-05-18T12:32:25.280505+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/GDVJHUX2VWLLNVLS7AMX2U47NV","json":"https://pith.science/pith/GDVJHUX2VWLLNVLS7AMX2U47NV.json","graph_json":"https://pith.science/api/pith-number/GDVJHUX2VWLLNVLS7AMX2U47NV/graph.json","events_json":"https://pith.science/api/pith-number/GDVJHUX2VWLLNVLS7AMX2U47NV/events.json","paper":"https://pith.science/paper/GDVJHUX2"},"agent_actions":{"view_html":"https://pith.science/pith/GDVJHUX2VWLLNVLS7AMX2U47NV","download_json":"https://pith.science/pith/GDVJHUX2VWLLNVLS7AMX2U47NV.json","view_paper":"https://pith.science/paper/GDVJHUX2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.02409&json=true","fetch_graph":"https://pith.science/api/pith-number/GDVJHUX2VWLLNVLS7AMX2U47NV/graph.json","fetch_events":"https://pith.science/api/pith-number/GDVJHUX2VWLLNVLS7AMX2U47NV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GDVJHUX2VWLLNVLS7AMX2U47NV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GDVJHUX2VWLLNVLS7AMX2U47NV/action/storage_attestation","attest_author":"https://pith.science/pith/GDVJHUX2VWLLNVLS7AMX2U47NV/action/author_attestation","sign_citation":"https://pith.science/pith/GDVJHUX2VWLLNVLS7AMX2U47NV/action/citation_signature","submit_replication":"https://pith.science/pith/GDVJHUX2VWLLNVLS7AMX2U47NV/action/replication_record"}},"created_at":"2026-05-17T23:58:56.386198+00:00","updated_at":"2026-05-17T23:58:56.386198+00:00"}