{"product_id":"plausibility-of-databases-von-heinrich-fritz-und-peter-filzmoser","title":"Plausibility of Databases","description":"\u003cp\u003eRevision with unchanged content. The estimation of the plausibility of a set of observations basically depends  on the main structure which stands behind these data. Observations which fit  into this estimated structure seem more plausible, than observations with  large distance to such structure estimates. For representing the structure of a  data set, here principal components are used. Since single observations which  do not follow the main structure of a data set (outliers) should not influence  such estimations, robust methods are considered primarily in this context.  The estimation of missing values is based on principal component analysis as  well. Iteratively principal components are estimated, and observations are  projected onto them until convergence of this process. In this context existing  algorithms have been improved concerning the quality of imputation and  runtime behavior. In particular this improvement focuses on the projection  methods which are used to project observations containing missings onto  principal components.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783639435788\"\u003e\u003ch3\u003eand the Relation to Imputation Methods\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783639435788","offer_id":39489932558429,"sku":"9783639435788","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/993d7bc3-6257-4b2e-845e-c0a85b0e1c65.jpg?v=1773467517","url":"https:\/\/shop.autorenwelt.de\/products\/plausibility-of-databases-von-heinrich-fritz-und-peter-filzmoser","provider":"Autorenwelt Shop","version":"1.0","type":"link"}