{"product_id":"robust-regression","title":"Robust Regression","description":"Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weigh. Each observation discusses generalized properties of LP-estimators. It includes an algorithm for identifying outliers using least absolute value criterion,  in regression modelling reviews re-descending M-estimators studies Li linear regres","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":54224876962136,"sku":"9780824781293","price":328.6,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9780824781293_7d58de02-d0cc-4be3-add6-7eaf04cf0396.jpg?v=1779333340","url":"https:\/\/agendabookshop.com\/products\/robust-regression","provider":"Agenda Bookshop","version":"1.0","type":"link"}