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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biosciences Biotechnology Research Asia</journalTitle>
          <issn>0973-1245</issn>
            <publicationDate>2015-04-28</publicationDate>
    
        <volume>12</volume>
        <issue>1</issue>

 
    <startPage>753</startPage>
    <endPage>765</endPage>

	    <publisherRecordId>6137</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Universal Simulation Results Reproduction Technical Capacities of the Various Sectoral Specialization</title>

    <authors>
	 


      <author>
       <name>Alexander Nikolaevich Semin</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Maxim Valentynovych Lysenko</name>


		
	<affiliationId>2</affiliationId>

      </author>
    

	 


      <author>
       <name>Yulia Valentinovna Lysenko</name>

		
	<affiliationId>2</affiliationId>
      </author>
    

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Institute of World economy of the Ural mining University (Ekaterinburg, Russia), street of Kuibyshev, 30, Ekaterinburg, 620144, Russia. </affiliationName>
    

		
		<affiliationName affiliationId="2">South Ural State University "(National Research University) (SUSU), Institute of Economy, Trade and Technology, Lenin Avenue, 76, Chelyabinsk, 454080, Russia</affiliationName>
    
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">Article is devoted to methods for evaluating the performance of the mechanism
of reproduction of the technical capacity of grain subcomplex. Developed by the authors
technique takes into account, in contrast to the known zoning areas, and also allows you
to isolate the territorial-production clusters on a range of indicators, including the
technical potential of grain subcomplex. In this case, the goal is to develop a set of
interrelated methodological and practical recommendations for the reproduction of the
technical capacity of grain subcomplex. This method is based on cluster analysis algorithm
and strategic positions grain subcomplex. The developed method allows to classify multidimensional
observations, which uses the approach of grouping, that is, in allocating the
unit of observation in this or that group at the same time includes all grouping attributes,
ie enables the construction of science-based groups (clusters), revealing the internal
connections between the units of observations together, as well as the distribution of the
studied series.</abstract>

    <fullTextUrl format="html">https://www.biotech-asia.org/vol12no1/universal-simulation-results-reproduction-technical-capacities-of-the-various-sectoral-specialization/</fullTextUrl>



      <keywords language="eng">
        <keyword>Cluster analysis; discriminant analysis; multivariate correlation-regression model; multicollinearity</keyword>
      </keywords>

  </record>
</records>