Matches in SemOpenAlex for { <https://semopenalex.org/work/W3208116248> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W3208116248 endingPage "140" @default.
- W3208116248 startingPage "140" @default.
- W3208116248 abstract "In this paper, some estimators for the unknown shape parameter and reliability function of Basic Gompertz distribution have been obtained, such as Maximum likelihood estimator and Bayesian estimators under Precautionary loss function using Gamma prior and Jefferys prior. Monte-Carlo simulation is conducted to compare mean squared errors (MSE) for all these estimators for the shape parameter and integrated mean squared error (IMSE's) for comparing the performance of the Reliability estimators. Finally, the discussion is provided to illustrate the results that summarized in tables." @default.
- W3208116248 created "2021-11-08" @default.
- W3208116248 creator A5020255254 @default.
- W3208116248 creator A5075365792 @default.
- W3208116248 date "2020-04-20" @default.
- W3208116248 modified "2023-09-26" @default.
- W3208116248 title "Bayesian Inference for the Parameter and Reliability Function of Basic Gompertz Distribution under Precautionary loss Function" @default.
- W3208116248 doi "https://doi.org/10.30526/33.2.2435" @default.
- W3208116248 hasPublicationYear "2020" @default.
- W3208116248 type Work @default.
- W3208116248 sameAs 3208116248 @default.
- W3208116248 citedByCount "0" @default.
- W3208116248 crossrefType "journal-article" @default.
- W3208116248 hasAuthorship W3208116248A5020255254 @default.
- W3208116248 hasAuthorship W3208116248A5075365792 @default.
- W3208116248 hasBestOaLocation W32081162481 @default.
- W3208116248 hasConcept C105795698 @default.
- W3208116248 hasConcept C107673813 @default.
- W3208116248 hasConcept C121332964 @default.
- W3208116248 hasConcept C139945424 @default.
- W3208116248 hasConcept C163258240 @default.
- W3208116248 hasConcept C177769412 @default.
- W3208116248 hasConcept C185429906 @default.
- W3208116248 hasConcept C28826006 @default.
- W3208116248 hasConcept C33923547 @default.
- W3208116248 hasConcept C43214815 @default.
- W3208116248 hasConcept C62520636 @default.
- W3208116248 hasConcept C68022304 @default.
- W3208116248 hasConceptScore W3208116248C105795698 @default.
- W3208116248 hasConceptScore W3208116248C107673813 @default.
- W3208116248 hasConceptScore W3208116248C121332964 @default.
- W3208116248 hasConceptScore W3208116248C139945424 @default.
- W3208116248 hasConceptScore W3208116248C163258240 @default.
- W3208116248 hasConceptScore W3208116248C177769412 @default.
- W3208116248 hasConceptScore W3208116248C185429906 @default.
- W3208116248 hasConceptScore W3208116248C28826006 @default.
- W3208116248 hasConceptScore W3208116248C33923547 @default.
- W3208116248 hasConceptScore W3208116248C43214815 @default.
- W3208116248 hasConceptScore W3208116248C62520636 @default.
- W3208116248 hasConceptScore W3208116248C68022304 @default.
- W3208116248 hasIssue "2" @default.
- W3208116248 hasLocation W32081162481 @default.
- W3208116248 hasOpenAccess W3208116248 @default.
- W3208116248 hasPrimaryLocation W32081162481 @default.
- W3208116248 hasRelatedWork W1573259303 @default.
- W3208116248 hasRelatedWork W1836035522 @default.
- W3208116248 hasRelatedWork W2031247443 @default.
- W3208116248 hasRelatedWork W2033299442 @default.
- W3208116248 hasRelatedWork W2122635231 @default.
- W3208116248 hasRelatedWork W2398033131 @default.
- W3208116248 hasRelatedWork W3110618269 @default.
- W3208116248 hasRelatedWork W3201291350 @default.
- W3208116248 hasRelatedWork W4318474067 @default.
- W3208116248 hasRelatedWork W2596235839 @default.
- W3208116248 hasVolume "33" @default.
- W3208116248 isParatext "false" @default.
- W3208116248 isRetracted "false" @default.
- W3208116248 magId "3208116248" @default.
- W3208116248 workType "article" @default.