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Metody stochastyczne w ekonometrii przestrzennej – nowoczesna analiza asymptotyczna

dc.contributor.authorOlejnik, Alicja
dc.contributor.authorOlejnik, Jakub
dc.date.accessioned2021-06-10T07:29:51Z
dc.date.available2021-06-10T07:29:51Z
dc.date.issued2020
dc.identifier.citationOlejnik A,, Olejnik J., Metody stochastyczne w ekonometrii przestrzennej – nowoczesna analiza asymptotyczna, WUŁ, Łódź 2020, https://doi.org/10.18778/8220-438-4pl_PL
dc.identifier.isbn978-83-8220-438-4
dc.identifier.urihttp://hdl.handle.net/11089/36137
dc.description.abstractW monografii zostały zaprezentowane najnowsze i w dużej mierze autorskie osiągnięcia z zakresu teorii asymptotycznych stochastycznych modeli ekonometrii przestrzennej. Rezultaty pracy naukowej autorów zostały poprzedzone przeglądem klasycznych, choć przedstawionych w nowoczesnym ujęciu, zagadnień ekonometrii przestrzennej. Ważnym elementem omawianej teorii jest nowe Centralne Twierdzenie Graniczne dla form liniowo-kwadratowych .Pozwala ono na przeprowadzanie formalnych dowodów własności granicznych statystyk testowych autokorelacji przestrzennej oraz estymatorów parametrów modeli ekonometrycznych z zależnościami przestrzennymi.pl_PL
dc.language.isoplpl_PL
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl_PL
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Międzynarodowe*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectekonometria przestrzennapl_PL
dc.subjectmetody stochastycznepl_PL
dc.subjectmodelowanie przestrzennepl_PL
dc.subjectautoregresja przestrzennapl_PL
dc.subjecttesty statystycznepl_PL
dc.subjectcentralne twierdzenie granicznepl_PL
dc.titleMetody stochastyczne w ekonometrii przestrzennej – nowoczesna analiza asymptotycznapl_PL
dc.typeBookpl_PL
dc.page.number168pl_PL
dc.contributor.authorAffiliationUniwersytet Łódzki, Wydział Ekonomiczno-Socjologiczny, Instytut Gospodarki Przestrzennej, Katedra Ekonometrii Przestrzennejpl_PL
dc.contributor.authorAffiliationUniwersytet Łódzki, Wydział Matematyki i Informatyki, Katedra Informatyki Stosowanejpl_PL
dc.identifier.eisbn978-83-8220-437-7
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dc.identifier.doi10.18778/8220-438-4


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