Matches in SemOpenAlex for { <https://semopenalex.org/work/W2091269768> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2091269768 endingPage "833" @default.
- W2091269768 startingPage "825" @default.
- W2091269768 abstract "온실가스 인벤토리 불확도 산정을 위해서는 인벤토리의 신뢰구간 추정이 필수적이다. 일반적으로 모수에 대한 신뢰구간 추정시에는 모집단이 정규분포를 따른다고 가정한다. 그러나 자료의 구조가 복잡해짐에 따라 정규분포가 아닌 비대칭형 자료, 즉 양의 왜도를 갖는 자료의 경우 기존의 정규분포를 가정한 신뢰구간 추정 방식은 적합하지 않다. 본 연구에서는 비대칭형 분포인 지수분포의 신뢰구간추정 방법으로 모수적인 방법과 비모수적인 방법에 대해 각각 비교분석하였다. 모의실험을 통한 신뢰구간 추정 결과를 바탕으로 범위확률, 신뢰구간 길이, 상대적 편의를 비교한 결과 모수적 방법 중에서 예상했던 대로 정확한 방법인 카이제곱방법이 신뢰계수와 유사한 범위확률을 보이고 상대적 편의도 작아 모수적 방법 중에서 신뢰구간 추정에 가장 적합한 것으로 나타났다. 마찬가지로 비모수적 방법 중에서는 표준화된 t-붓스트랩 방법이 가장 적합한 것으로 나타났다. An estimation of confidence intervals is essential to calculate uncertainty for greenhouse gases inventory. It is generally assumed that the population has a normal distribution for the confidence interval of parameters. However, in case data distribution is asymmetric, like nonnormal distribution or positively skewness distribution, the traditional estimation method of confidence intervals is not adequate. This study compares two estimation methods of confidence interval; parametric and non-parametric method for exponential distribution as an asymmetric distribution. In simulation study, coverage probability, confidence interval length, and relative bias for the evaluation of the computed confidence intervals. As a result, the chi-square method and the standardized t-bootstrap method are better methods in parametric methods and non-parametric methods respectively." @default.
- W2091269768 created "2016-06-24" @default.
- W2091269768 creator A5015863433 @default.
- W2091269768 creator A5020680387 @default.
- W2091269768 creator A5043776204 @default.
- W2091269768 creator A5069818368 @default.
- W2091269768 date "2013-07-31" @default.
- W2091269768 modified "2023-09-23" @default.
- W2091269768 title "Estimation of confidence interval in exponential distribution for the greenhouse gas inventory uncertainty by the simulation study" @default.
- W2091269768 cites W1507985183 @default.
- W2091269768 cites W1540717388 @default.
- W2091269768 cites W1964432498 @default.
- W2091269768 cites W1985996549 @default.
- W2091269768 cites W1990404664 @default.
- W2091269768 cites W2020755546 @default.
- W2091269768 cites W2066406141 @default.
- W2091269768 cites W3150545588 @default.
- W2091269768 doi "https://doi.org/10.7465/jkdi.2013.24.4.825" @default.
- W2091269768 hasPublicationYear "2013" @default.
- W2091269768 type Work @default.
- W2091269768 sameAs 2091269768 @default.
- W2091269768 citedByCount "2" @default.
- W2091269768 countsByYear W20912697682015 @default.
- W2091269768 countsByYear W20912697682020 @default.
- W2091269768 crossrefType "journal-article" @default.
- W2091269768 hasAuthorship W2091269768A5015863433 @default.
- W2091269768 hasAuthorship W2091269768A5020680387 @default.
- W2091269768 hasAuthorship W2091269768A5043776204 @default.
- W2091269768 hasAuthorship W2091269768A5069818368 @default.
- W2091269768 hasBestOaLocation W20912697681 @default.
- W2091269768 hasConcept C105795698 @default.
- W2091269768 hasConcept C10590107 @default.
- W2091269768 hasConcept C117251300 @default.
- W2091269768 hasConcept C121117317 @default.
- W2091269768 hasConcept C122342681 @default.
- W2091269768 hasConcept C13662513 @default.
- W2091269768 hasConcept C205167067 @default.
- W2091269768 hasConcept C2776292839 @default.
- W2091269768 hasConcept C33923547 @default.
- W2091269768 hasConcept C42468098 @default.
- W2091269768 hasConcept C44249647 @default.
- W2091269768 hasConcept C55350006 @default.
- W2091269768 hasConcept C66520545 @default.
- W2091269768 hasConceptScore W2091269768C105795698 @default.
- W2091269768 hasConceptScore W2091269768C10590107 @default.
- W2091269768 hasConceptScore W2091269768C117251300 @default.
- W2091269768 hasConceptScore W2091269768C121117317 @default.
- W2091269768 hasConceptScore W2091269768C122342681 @default.
- W2091269768 hasConceptScore W2091269768C13662513 @default.
- W2091269768 hasConceptScore W2091269768C205167067 @default.
- W2091269768 hasConceptScore W2091269768C2776292839 @default.
- W2091269768 hasConceptScore W2091269768C33923547 @default.
- W2091269768 hasConceptScore W2091269768C42468098 @default.
- W2091269768 hasConceptScore W2091269768C44249647 @default.
- W2091269768 hasConceptScore W2091269768C55350006 @default.
- W2091269768 hasConceptScore W2091269768C66520545 @default.
- W2091269768 hasIssue "4" @default.
- W2091269768 hasLocation W20912697681 @default.
- W2091269768 hasOpenAccess W2091269768 @default.
- W2091269768 hasPrimaryLocation W20912697681 @default.
- W2091269768 hasRelatedWork W2061715326 @default.
- W2091269768 hasRelatedWork W2076293069 @default.
- W2091269768 hasRelatedWork W2091269768 @default.
- W2091269768 hasRelatedWork W2155916505 @default.
- W2091269768 hasRelatedWork W2368287885 @default.
- W2091269768 hasRelatedWork W2586803801 @default.
- W2091269768 hasRelatedWork W3026543644 @default.
- W2091269768 hasRelatedWork W4224217263 @default.
- W2091269768 hasRelatedWork W4225113063 @default.
- W2091269768 hasRelatedWork W2183054518 @default.
- W2091269768 hasVolume "24" @default.
- W2091269768 isParatext "false" @default.
- W2091269768 isRetracted "false" @default.
- W2091269768 magId "2091269768" @default.
- W2091269768 workType "article" @default.