Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386996953> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W4386996953 endingPage "23" @default.
- W4386996953 startingPage "1" @default.
- W4386996953 abstract "ABSTRACTLinear Mixed Effects (LME) models are powerful statistical tools that have been employed in many different real-world applications such as retail data analytics, marketing measurement, and medical research. Statistical inference is often conducted via maximum likelihood estimation with Normality assumptions on the random effects. Nevertheless, for many applications in the retail industry, it is often necessary to consider non-Normal distributions on the random effects when considering the unknown parameters' business interpretations. Motivated by this need, a linear mixed effects model with possibly non-Normal distribution is studied in this research. We propose a general estimating framework based on a saddlepoint approximation (SA) of the probability density function of the dependent variable, which leads to constrained nonlinear optimization problems. The classical LME model with Normality assumption can then be viewed as a special case under the proposed general SA framework. Compared with the existing approach, the proposed method enhances the real-world interpretability of the estimates with satisfactory model fits.KEYWORDS: Mixed effects modellinear regressionconstrained optimizationstatistical inferencesaddlepoint approximationMATHEMATICAL SUBJECT CLASSIFICATION: 62J05 Disclosure statementNo potential conflict of interest was reported by the author(s)." @default.
- W4386996953 created "2023-09-25" @default.
- W4386996953 creator A5016032991 @default.
- W4386996953 creator A5066035462 @default.
- W4386996953 creator A5066084581 @default.
- W4386996953 date "2023-09-24" @default.
- W4386996953 modified "2023-09-30" @default.
- W4386996953 title "Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics" @default.
- W4386996953 cites W1951724000 @default.
- W4386996953 cites W1971536112 @default.
- W4386996953 cites W1987694146 @default.
- W4386996953 cites W2002904866 @default.
- W4386996953 cites W2002993332 @default.
- W4386996953 cites W2049361783 @default.
- W4386996953 cites W2055914327 @default.
- W4386996953 cites W2078055172 @default.
- W4386996953 cites W2106346041 @default.
- W4386996953 cites W2109284646 @default.
- W4386996953 cites W2149416133 @default.
- W4386996953 cites W2181523240 @default.
- W4386996953 cites W3100196413 @default.
- W4386996953 cites W3103145119 @default.
- W4386996953 cites W381804301 @default.
- W4386996953 cites W4206038828 @default.
- W4386996953 cites W4241635929 @default.
- W4386996953 cites W4281256223 @default.
- W4386996953 cites W4292363360 @default.
- W4386996953 cites W4298163259 @default.
- W4386996953 doi "https://doi.org/10.1080/02664763.2023.2260576" @default.
- W4386996953 hasPublicationYear "2023" @default.
- W4386996953 type Work @default.
- W4386996953 citedByCount "0" @default.
- W4386996953 crossrefType "journal-article" @default.
- W4386996953 hasAuthorship W4386996953A5016032991 @default.
- W4386996953 hasAuthorship W4386996953A5066035462 @default.
- W4386996953 hasAuthorship W4386996953A5066084581 @default.
- W4386996953 hasConcept C105795698 @default.
- W4386996953 hasConcept C119857082 @default.
- W4386996953 hasConcept C124101348 @default.
- W4386996953 hasConcept C126255220 @default.
- W4386996953 hasConcept C126322002 @default.
- W4386996953 hasConcept C134261354 @default.
- W4386996953 hasConcept C149782125 @default.
- W4386996953 hasConcept C154945302 @default.
- W4386996953 hasConcept C16012445 @default.
- W4386996953 hasConcept C168743327 @default.
- W4386996953 hasConcept C2776157432 @default.
- W4386996953 hasConcept C2776214188 @default.
- W4386996953 hasConcept C2781067378 @default.
- W4386996953 hasConcept C33923547 @default.
- W4386996953 hasConcept C41008148 @default.
- W4386996953 hasConcept C71924100 @default.
- W4386996953 hasConcept C79158427 @default.
- W4386996953 hasConcept C95190672 @default.
- W4386996953 hasConceptScore W4386996953C105795698 @default.
- W4386996953 hasConceptScore W4386996953C119857082 @default.
- W4386996953 hasConceptScore W4386996953C124101348 @default.
- W4386996953 hasConceptScore W4386996953C126255220 @default.
- W4386996953 hasConceptScore W4386996953C126322002 @default.
- W4386996953 hasConceptScore W4386996953C134261354 @default.
- W4386996953 hasConceptScore W4386996953C149782125 @default.
- W4386996953 hasConceptScore W4386996953C154945302 @default.
- W4386996953 hasConceptScore W4386996953C16012445 @default.
- W4386996953 hasConceptScore W4386996953C168743327 @default.
- W4386996953 hasConceptScore W4386996953C2776157432 @default.
- W4386996953 hasConceptScore W4386996953C2776214188 @default.
- W4386996953 hasConceptScore W4386996953C2781067378 @default.
- W4386996953 hasConceptScore W4386996953C33923547 @default.
- W4386996953 hasConceptScore W4386996953C41008148 @default.
- W4386996953 hasConceptScore W4386996953C71924100 @default.
- W4386996953 hasConceptScore W4386996953C79158427 @default.
- W4386996953 hasConceptScore W4386996953C95190672 @default.
- W4386996953 hasLocation W43869969531 @default.
- W4386996953 hasOpenAccess W4386996953 @default.
- W4386996953 hasPrimaryLocation W43869969531 @default.
- W4386996953 hasRelatedWork W2059166063 @default.
- W4386996953 hasRelatedWork W2061752989 @default.
- W4386996953 hasRelatedWork W2296840022 @default.
- W4386996953 hasRelatedWork W2325384025 @default.
- W4386996953 hasRelatedWork W2471979347 @default.
- W4386996953 hasRelatedWork W3167488837 @default.
- W4386996953 hasRelatedWork W3176744951 @default.
- W4386996953 hasRelatedWork W4242611672 @default.
- W4386996953 hasRelatedWork W4307130839 @default.
- W4386996953 hasRelatedWork W4386996953 @default.
- W4386996953 isParatext "false" @default.
- W4386996953 isRetracted "false" @default.
- W4386996953 workType "article" @default.