Introduction to data analysis


Autoria(s): Szüle, Borbála
Data(s)

2016

Resumo

With the latest development in computer science, multivariate data analysis methods became increasingly popular among economists. Pattern recognition in complex economic data and empirical model construction can be more straightforward with proper application of modern softwares. However, despite the appealing simplicity of some popular software packages, the interpretation of data analysis results requires strong theoretical knowledge. This book aims at combining the development of both theoretical and applicationrelated data analysis knowledge. The text is designed for advanced level studies and assumes acquaintance with elementary statistical terms. After a brief introduction to selected mathematical concepts, the highlighting of selected model features is followed by a practice-oriented introduction to the interpretation of SPSS1 outputs for the described data analysis methods. Learning of data analysis is usually time-consuming and requires efforts, but with tenacity the learning process can bring about a significant improvement of individual data analysis skills.

Formato

application/pdf

application/vnd.ms-excel

application/vnd.ms-excel

Identificador

http://unipub.lib.uni-corvinus.hu/2317/1/Introduction_to_data_analysis.pdf

http://unipub.lib.uni-corvinus.hu/2317/2/data1.xlsx

http://unipub.lib.uni-corvinus.hu/2317/3/data2.xlsx

Szüle, Borbála (2016) Introduction to data analysis. Corvinus University of Budapest, Faculty of Economics, Budapest. ISBN 978-963-503-619-6

Publicador

Corvinus University of Budapest, Faculty of Economics

Relação

http://unipub.lib.uni-corvinus.hu/2317/

Palavras-Chave #Information economy #Mathematics, Econometrics
Tipo

Book

PeerReviewed