{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:AB2SY45Q53JFXTFML27WPMLNIN","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":"8dc9f1f0d8714e4bfa29697b39a47d8b0ca950fa785322d9dadbabf30a165510","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-11-27T02:37:11Z","title_canon_sha256":"c70be692ff8ff140708089149d77afbba70537f860633d81d25a178cb4428092"},"schema_version":"1.0","source":{"id":"1911.11922","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.11922","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"arxiv_version","alias_value":"1911.11922v1","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.11922","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_12","alias_value":"AB2SY45Q53JF","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_16","alias_value":"AB2SY45Q53JFXTFM","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_8","alias_value":"AB2SY45Q","created_at":"2026-07-05T00:22:28Z"}],"graph_snapshots":[{"event_id":"sha256:f7d6f56125592dbb66e7052b7699e1153c31d126dcb6742eb6a10cf7b8a93d00","target":"graph","created_at":"2026-07-05T00:22:28Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1911.11922/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A t-test is considered a standard procedure for inference on population means and is widely used in scientific discovery. However, as a special case of a likelihood-ratio test, t-test often shows drastic performance degradation due to the deviations from its hard-to-verify distributional assumptions. Alternatively, in this article, we propose a new two-sample Lq-likelihood-ratio-type test (LqRT) along with an easy-to-use Python package for implementation. LqRT preserves high power when the distributional assumption is violated, and maintains the satisfactory performance when the assumption is ","authors_text":"Anton Alyakin, Carey E. Priebe, Yichen Qin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-11-27T02:37:11Z","title":"LqRT: Robust Hypothesis Testing of Location Parameters using Lq-Likelihood-Ratio-Type Test in Python"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.11922","kind":"arxiv","version":1},"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":"sha256:494b0170ff898ab1d1d5c85bbf02a3b11659a9a1986c52fcb78117e57946f717","target":"record","created_at":"2026-07-05T00:22:28Z","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":"8dc9f1f0d8714e4bfa29697b39a47d8b0ca950fa785322d9dadbabf30a165510","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-11-27T02:37:11Z","title_canon_sha256":"c70be692ff8ff140708089149d77afbba70537f860633d81d25a178cb4428092"},"schema_version":"1.0","source":{"id":"1911.11922","kind":"arxiv","version":1}},"canonical_sha256":"00752c73b0eed25bccac5ebf67b16d437f6f0f2b895945279314d7806ac3e25d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"00752c73b0eed25bccac5ebf67b16d437f6f0f2b895945279314d7806ac3e25d","first_computed_at":"2026-07-05T00:22:28.717039Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:22:28.717039Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eBjoJyLoe2bv/+mlLc+PJiVNClt6Iq4Y2GGrba9jZ8oo8h0HkIBq9K889vwEo1kmebFQnC8cKjenLyftYzLhAg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:22:28.717587Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.11922","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:494b0170ff898ab1d1d5c85bbf02a3b11659a9a1986c52fcb78117e57946f717","sha256:f7d6f56125592dbb66e7052b7699e1153c31d126dcb6742eb6a10cf7b8a93d00"],"state_sha256":"7fff597ed54e158cbeb21684373022dc4bc59e4ea685241835192e9e04311616"}