{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:MRRWTT23NHPZHU2COSKINLKVRJ","short_pith_number":"pith:MRRWTT23","schema_version":"1.0","canonical_sha256":"646369cf5b69df93d342749486ad558a4df672063ed0b105da80fd6e9dc85410","source":{"kind":"arxiv","id":"1405.6268","version":1},"attestation_state":"computed","paper":{"title":"The inverse Lindley distribution: A stress-strength reliability model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Sanjay Kumar Singh, Umesh Singh, Varun Agiwal, Vikas Kumar Sharma","submitted_at":"2014-05-24T05:08:09Z","abstract_excerpt":"In this article, we proposed an inverse Lindley distribution and studied its fundamental properties such as quantiles, mode, stochastic ordering and entropy measure. The proposed distribution is observed to be a heavy-tailed distribution and has a upside-down bathtub shape for its failure rate. Further, we proposed its applicability as a stress-strength reliability model for survival data analysis. The estimation of stress-strength parameters and $R=P[X>Y]$, the stress-strength reliability has been approached by both classical and Bayesian paradigms. Under Bayesian set-up, non-informative (Jef"},"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":"1405.6268","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-05-24T05:08:09Z","cross_cats_sorted":[],"title_canon_sha256":"aedda88048007c4c2763d4ae4abbf7fc9fc87998bc119ea3e967a4402287fab5","abstract_canon_sha256":"46ceefc739500d8f0239c6b6f378c47818354240085263d33bcd5c26d0a36c2c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:51:07.639448Z","signature_b64":"MCAfynYjBe6Js1ZPtcHDwS1StsKNDJq3+JbqibnD/gbA9oq7muE0qcYGEsxwpmj4FRN/iGxrKk56TomsK4DfCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"646369cf5b69df93d342749486ad558a4df672063ed0b105da80fd6e9dc85410","last_reissued_at":"2026-05-18T02:51:07.639007Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:51:07.639007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The inverse Lindley distribution: A stress-strength reliability model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Sanjay Kumar Singh, Umesh Singh, Varun Agiwal, Vikas Kumar Sharma","submitted_at":"2014-05-24T05:08:09Z","abstract_excerpt":"In this article, we proposed an inverse Lindley distribution and studied its fundamental properties such as quantiles, mode, stochastic ordering and entropy measure. The proposed distribution is observed to be a heavy-tailed distribution and has a upside-down bathtub shape for its failure rate. Further, we proposed its applicability as a stress-strength reliability model for survival data analysis. The estimation of stress-strength parameters and $R=P[X>Y]$, the stress-strength reliability has been approached by both classical and Bayesian paradigms. Under Bayesian set-up, non-informative (Jef"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.6268","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":"1405.6268","created_at":"2026-05-18T02:51:07.639068+00:00"},{"alias_kind":"arxiv_version","alias_value":"1405.6268v1","created_at":"2026-05-18T02:51:07.639068+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.6268","created_at":"2026-05-18T02:51:07.639068+00:00"},{"alias_kind":"pith_short_12","alias_value":"MRRWTT23NHPZ","created_at":"2026-05-18T12:28:38.356838+00:00"},{"alias_kind":"pith_short_16","alias_value":"MRRWTT23NHPZHU2C","created_at":"2026-05-18T12:28:38.356838+00:00"},{"alias_kind":"pith_short_8","alias_value":"MRRWTT23","created_at":"2026-05-18T12:28:38.356838+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/MRRWTT23NHPZHU2COSKINLKVRJ","json":"https://pith.science/pith/MRRWTT23NHPZHU2COSKINLKVRJ.json","graph_json":"https://pith.science/api/pith-number/MRRWTT23NHPZHU2COSKINLKVRJ/graph.json","events_json":"https://pith.science/api/pith-number/MRRWTT23NHPZHU2COSKINLKVRJ/events.json","paper":"https://pith.science/paper/MRRWTT23"},"agent_actions":{"view_html":"https://pith.science/pith/MRRWTT23NHPZHU2COSKINLKVRJ","download_json":"https://pith.science/pith/MRRWTT23NHPZHU2COSKINLKVRJ.json","view_paper":"https://pith.science/paper/MRRWTT23","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1405.6268&json=true","fetch_graph":"https://pith.science/api/pith-number/MRRWTT23NHPZHU2COSKINLKVRJ/graph.json","fetch_events":"https://pith.science/api/pith-number/MRRWTT23NHPZHU2COSKINLKVRJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MRRWTT23NHPZHU2COSKINLKVRJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MRRWTT23NHPZHU2COSKINLKVRJ/action/storage_attestation","attest_author":"https://pith.science/pith/MRRWTT23NHPZHU2COSKINLKVRJ/action/author_attestation","sign_citation":"https://pith.science/pith/MRRWTT23NHPZHU2COSKINLKVRJ/action/citation_signature","submit_replication":"https://pith.science/pith/MRRWTT23NHPZHU2COSKINLKVRJ/action/replication_record"}},"created_at":"2026-05-18T02:51:07.639068+00:00","updated_at":"2026-05-18T02:51:07.639068+00:00"}