{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:SMAFQNQZNKR5VNZHYUSBVHRPZQ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"273136955e1c680a85192c86551820eaea1785c5466c22d29e97a2173a5e6a09","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-10-30T07:04:50Z","title_canon_sha256":"f59088a1ea01da89a9373440520e44d3616c99ca852da0db76b35004d1b8c508"},"schema_version":"1.0","source":{"id":"1410.8269","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1410.8269","created_at":"2026-05-18T00:21:29Z"},{"alias_kind":"arxiv_version","alias_value":"1410.8269v2","created_at":"2026-05-18T00:21:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1410.8269","created_at":"2026-05-18T00:21:29Z"},{"alias_kind":"pith_short_12","alias_value":"SMAFQNQZNKR5","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_16","alias_value":"SMAFQNQZNKR5VNZH","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_8","alias_value":"SMAFQNQZ","created_at":"2026-05-18T12:28:49Z"}],"graph_snapshots":[{"event_id":"sha256:a4a531b650246f4b629024112bb4d64cc9cd31d832d8cfb6443e23479260c485","target":"graph","created_at":"2026-05-18T00:21:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"This paper suggests parametrically transformed nested error regression models (TNERM), which transform the data flexibly to follow the normal linear mixed regression. We provide a procedure for estimating consistently the parameters of the proposed model and a predictor based on the consistent estimators. Then, in order to calibrate uncertainty of the transformed empirical best linear unbiased predictor, we derive prediction intervals with second-order accuracy based on the parametric bootstrap method. The proposed methods are investigated through simulation and empirical studies.","authors_text":"Shonosuke Sugasawa, Tatsuya Kubokawa","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-10-30T07:04:50Z","title":"Estimation and Prediction in Transformed Nested Error Regression Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1410.8269","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0f511ff03777af3517ae2632e5f51a76d1d27cece2894456d1b4fb337434645f","target":"record","created_at":"2026-05-18T00:21:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"273136955e1c680a85192c86551820eaea1785c5466c22d29e97a2173a5e6a09","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-10-30T07:04:50Z","title_canon_sha256":"f59088a1ea01da89a9373440520e44d3616c99ca852da0db76b35004d1b8c508"},"schema_version":"1.0","source":{"id":"1410.8269","kind":"arxiv","version":2}},"canonical_sha256":"93005836196aa3dab727c5241a9e2fcc2260f2dd42fa32e45d7af9d545f19efc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93005836196aa3dab727c5241a9e2fcc2260f2dd42fa32e45d7af9d545f19efc","first_computed_at":"2026-05-18T00:21:29.461637Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:21:29.461637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PM0bCxbWMMeSgCP50eBO0sVLEbdX609C7C/0/Ofi8cW+JjvH3k7GHbLF4pp0yXjKRQu9o3C27sqQIDTM8zBZBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:21:29.462189Z","signed_message":"canonical_sha256_bytes"},"source_id":"1410.8269","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f511ff03777af3517ae2632e5f51a76d1d27cece2894456d1b4fb337434645f","sha256:a4a531b650246f4b629024112bb4d64cc9cd31d832d8cfb6443e23479260c485"],"state_sha256":"c83a5bf77c78aedfb97d4335e97a013f290d35d9a944c10cde308d54a3a67896"}