
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
  <dc:description xml:lang="eng">New generalized thinning operators based on Bernoulli
sequences of dependent random variables are presented In
this thesis. Using these operators autoregressive models of
the first order with non-negative integer values and
geometric marginal distribution are constructed. Also, a
mixed model based on both dependent and independent
Bernoulli counting series is constructed by combined
application of the binomial and the generalized binomial
thinning operator. Some basic features of all introduced
models are determined, unknown model parameters are
estimated and asymptotic properties of obtained estimates
are considered. Possible application to real data is also
presented, where the new models are compared with each
other and with the existing relevant INAR models.</dc:description>
  <dc:description xml:lang="srp">Umnoženo za odbranu. Univerzitet u Nišu, Prirodno-matematički fakultet, 2014. Bibliografija: listovi 160-166. Biobibliografija: list [167]Rezime ; Abstract. </dc:description>
  <dc:rights>http://creativecommons.org/licenses/by-nc-nd/2.0/at/legalcode</dc:rights>
  <dc:creator>Miletić Ilić, Ana V. 1977-</dc:creator>
  <dc:identifier>https://phaidrani.ni.ac.rs/o:969</dc:identifier>
  <dc:identifier>cobiss:533682326</dc:identifier>
  <dc:identifier>thesis:2003</dc:identifier>
  <dc:title xml:lang="srp">Vremenski nizovi sa negativnim celobrojnom vrednostima generisani zavisnim brojačkim nizovima : doktorska disertacija</dc:title>
  <dc:format>PDF/A (177 listova)</dc:format>
  <dc:format>1860543 bytes</dc:format>
  <dc:language>srp</dc:language>
  <dc:date>2014</dc:date>
  <dc:contributor>Ristić, Miroslav M. 1972-</dc:contributor>
  <dc:contributor>Popović, Biljana Č. 1954-</dc:contributor>
  <dc:contributor>Stanković, Miomir S. 1949-</dc:contributor>
  <dc:contributor>Nastić, Aleksandar S.</dc:contributor>
</oai_dc:dc>
