0000000000625852

AUTHOR

Jyrki Möttönen

showing 2 related works from this author

Impact of missing data mechanism on the estimate of change: a case study on cognitive function and polypharmacy among older persons

2015

Piia Lavikainen,1,2 Esko Leskinen,3 Sirpa Hartikainen,1,2 Jyrki Möttönen,4 Raimo Sulkava,5 Maarit J Korhonen6 1Kuopio Research Centre of Geriatric Care, University of Eastern Finland, Kuopio, Finland; 2School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland; 3Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland; 4Department of Social Research, University of Helsinki, Helsinki, Finland; 5Department of Geriatrics, Institute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland; 6Department of Pharmacology, D…

GerontologyattritionlongitudinalEpidemiology01 natural sciences010104 statistics & probability0504 sociologynumber of drugsMedicineClinical EpidemiologyAttrition0101 mathematicsCognitive declineLatent variable modelOriginal ResearchPolypharmacyta112Mini–Mental State Examinationmedicine.diagnostic_testbusiness.industryMechanism (biology)05 social sciences050401 social sciences methodsCognitionta3142medicine.diseaseMissing dataData science3. Good healthlatent variable modelingolder personsMini-Mental State Examinationbusiness
researchProduct

Affine equivariant multivariate rank methods

2003

The classical multivariate statistical methods (MANOVA, principal component analysis, multivariate multiple regression, canonical correlation, factor analysis, etc.) assume that the data come from a multivariate normal distribution and the derivations are based on the sample covariance matrix. The conventional sample covariance matrix and consequently the standard multivariate techniques based on it are, however, highly sensitive to outlying observations. In the paper a new, more robust and highly efficient, approach based on an affine equivariant rank covariance matrix is proposed and outlined. Affine equivariant multivariate rank concept is based on the multivariate Oja (Statist. Probab. …

Statistics and ProbabilityPure mathematicsApplied MathematicsMatrix t-distributionMultivariate normal distributionNormal-Wishart distributionCombinatoricsEstimation of covariance matricesScatter matrixStatistics::MethodologyMatrix normal distributionMultivariate t-distributionStatistics Probability and UncertaintyMathematicsMultivariate stable distributionJournal of Statistical Planning and Inference
researchProduct