Matches in SemOpenAlex for { <https://semopenalex.org/work/W2106459314> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2106459314 abstract "Missing data often appear in software metrics data samples used to construct software effort prediction models. So far, the least biased and thus the most strongly recommended family of such models capable of handling missing data are those using maximum likelihood methods. However, the theory of such maximum likelihood methods assumes that the data samples underlying the model construction are multivariate normal. Previous research on such models simply ignored the violation of such an assumption by the empirical data samples. This paper proposes and empirically illustrates a not-so-complicated but effective technique to transform the data sample for the purpose of meeting such an assumption. This technique is empirically proven to work for typical software metrics data samples and the author recommends applying such a technique in any further research on and practical industrial application of software effort prediction models using maximum likelihood methods" @default.
- W2106459314 created "2016-06-24" @default.
- W2106459314 creator A5022687207 @default.
- W2106459314 date "2004-11-08" @default.
- W2106459314 modified "2023-10-03" @default.
- W2106459314 title "Software effort prediction models using maximum likelihood methods require multivariate normality of the software metrics data sample:can such a sample be made multivariate normal?" @default.
- W2106459314 cites W1619356713 @default.
- W2106459314 cites W1990994334 @default.
- W2106459314 cites W2007735936 @default.
- W2106459314 cites W2011882477 @default.
- W2106459314 cites W2044758663 @default.
- W2106459314 cites W2065262588 @default.
- W2106459314 cites W2092897775 @default.
- W2106459314 cites W2095778055 @default.
- W2106459314 cites W2105586900 @default.
- W2106459314 cites W2136691316 @default.
- W2106459314 cites W2155725368 @default.
- W2106459314 cites W2157542847 @default.
- W2106459314 cites W2167110832 @default.
- W2106459314 cites W2319794630 @default.
- W2106459314 cites W2480680997 @default.
- W2106459314 doi "https://doi.org/10.1109/cmpsac.2004.1342843" @default.
- W2106459314 hasPublicationYear "2004" @default.
- W2106459314 type Work @default.
- W2106459314 sameAs 2106459314 @default.
- W2106459314 citedByCount "0" @default.
- W2106459314 crossrefType "proceedings-article" @default.
- W2106459314 hasAuthorship W2106459314A5022687207 @default.
- W2106459314 hasConcept C105795698 @default.
- W2106459314 hasConcept C119857082 @default.
- W2106459314 hasConcept C124101348 @default.
- W2106459314 hasConcept C129848803 @default.
- W2106459314 hasConcept C161584116 @default.
- W2106459314 hasConcept C177384507 @default.
- W2106459314 hasConcept C185592680 @default.
- W2106459314 hasConcept C198531522 @default.
- W2106459314 hasConcept C199360897 @default.
- W2106459314 hasConcept C2776157432 @default.
- W2106459314 hasConcept C2777904410 @default.
- W2106459314 hasConcept C33923547 @default.
- W2106459314 hasConcept C38180746 @default.
- W2106459314 hasConcept C41008148 @default.
- W2106459314 hasConcept C43617362 @default.
- W2106459314 hasConcept C45804977 @default.
- W2106459314 hasConcept C67186912 @default.
- W2106459314 hasConcept C77088390 @default.
- W2106459314 hasConcept C9357733 @default.
- W2106459314 hasConceptScore W2106459314C105795698 @default.
- W2106459314 hasConceptScore W2106459314C119857082 @default.
- W2106459314 hasConceptScore W2106459314C124101348 @default.
- W2106459314 hasConceptScore W2106459314C129848803 @default.
- W2106459314 hasConceptScore W2106459314C161584116 @default.
- W2106459314 hasConceptScore W2106459314C177384507 @default.
- W2106459314 hasConceptScore W2106459314C185592680 @default.
- W2106459314 hasConceptScore W2106459314C198531522 @default.
- W2106459314 hasConceptScore W2106459314C199360897 @default.
- W2106459314 hasConceptScore W2106459314C2776157432 @default.
- W2106459314 hasConceptScore W2106459314C2777904410 @default.
- W2106459314 hasConceptScore W2106459314C33923547 @default.
- W2106459314 hasConceptScore W2106459314C38180746 @default.
- W2106459314 hasConceptScore W2106459314C41008148 @default.
- W2106459314 hasConceptScore W2106459314C43617362 @default.
- W2106459314 hasConceptScore W2106459314C45804977 @default.
- W2106459314 hasConceptScore W2106459314C67186912 @default.
- W2106459314 hasConceptScore W2106459314C77088390 @default.
- W2106459314 hasConceptScore W2106459314C9357733 @default.
- W2106459314 hasLocation W21064593141 @default.
- W2106459314 hasOpenAccess W2106459314 @default.
- W2106459314 hasPrimaryLocation W21064593141 @default.
- W2106459314 hasRelatedWork W1977816626 @default.
- W2106459314 hasRelatedWork W1986822503 @default.
- W2106459314 hasRelatedWork W2025772701 @default.
- W2106459314 hasRelatedWork W2057839917 @default.
- W2106459314 hasRelatedWork W2073810962 @default.
- W2106459314 hasRelatedWork W2097655789 @default.
- W2106459314 hasRelatedWork W2103931564 @default.
- W2106459314 hasRelatedWork W2120981988 @default.
- W2106459314 hasRelatedWork W2139506929 @default.
- W2106459314 hasRelatedWork W2141194554 @default.
- W2106459314 hasRelatedWork W2158538143 @default.
- W2106459314 hasRelatedWork W2174787750 @default.
- W2106459314 hasRelatedWork W2271951016 @default.
- W2106459314 hasRelatedWork W2316422287 @default.
- W2106459314 hasRelatedWork W2348136092 @default.
- W2106459314 hasRelatedWork W2395762871 @default.
- W2106459314 hasRelatedWork W2883109257 @default.
- W2106459314 hasRelatedWork W3081553752 @default.
- W2106459314 hasRelatedWork W62324596 @default.
- W2106459314 hasRelatedWork W2254392083 @default.
- W2106459314 isParatext "false" @default.
- W2106459314 isRetracted "false" @default.
- W2106459314 magId "2106459314" @default.
- W2106459314 workType "article" @default.