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   multivariate statistical approaches in archeology:a systematic review  
   
نویسنده shadmehr abdolkarim ,mostafaei shayan
منبع international journal of the society of iranian archaeologists - 2016 - دوره : 2 - شماره : 4 - صفحه:88 -93
فایل تمام متن
چکیده    one of the most important achievements of new archaeology was a tendency toward application of variables and statisticalanalysis in archaeological research. each statistical method should be applied to certain areas of archaeological studies; it is importantto extract biological, economic, social and cultural information properly via statistical methods. in this study, which is a review throughpreviously published research, articles in which multivariate statistical method are applied in archaeological investigations have beenextracted from three worldwide databases, i.e. pubmed, scopus and science direct, based on a protocol designed to search for relatedarticles from january 2000 to january 2016. after application of inclusion and exclusion criteria, finally 384 articles were selectedfor this investigation. all of the 384 articles were classified based on multivariate statistical methods and then the application of thesemethods in archaeology and cultural material types was determined. they show that methods, including cluster analysis, principalcomponent analysis, discriminant analysis, multivariate multiple regression, factor analysis and multidimensional scaling havehad respectively the highest application in archaeological investigations. the results of this systematic review indicate that clusteranalysis is one of the most applied statistical analysis, perhaps because of usage, method and simple interpretation, compared to othermethods of data reduction. this method is used for data reduction or clustering archaeological sites based on their similarities andhelps with the comparison between site structures. principle component analysis is the second most widely used methods due to itsapplication in any data structure and simplicity of interpretation compared to other methods of dimensionality reduction.
کلیدواژه multivariate ,archaeology ,cluster analysis ,principle component analysis
آدرس tarbiat modares university, tarbiat modares university
پست الکترونیکی mostafa.shayan@modares.ac.ir
 
 

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