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B01=Olga Moreira
Category1=Non-Fiction
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COP=Canada
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Language_English
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Advanced Techniques for Collecting Statistical Data

English

Advanced Techniques for Collecting Statistical Data is an edited book consisting of 17 contemporaneous open-access articles focused on data collection methods, from qualitative research techniques to automated data collection systems. The first chapters include a practical guide to designing, sampling, and collecting qualitative research data. The second part of the book is devoted to data mining of information collected from clinical and social studies surveys, as well as from social media. The final chapters reflect on current efforts to optimize and automate data collection procedures. This book also includes new methodologies based on automatic data collection and analysis systems based on smartphone technology and artificial intelligence, as well as their application in clinical research, sociology, stock market prediction and other fields. This book is intended to reach an academic audience ranging from undergraduate students to junior researchers. See more
Current price €191.89
Original price €201.99
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Age Group_Uncategorizedautomatic-updateB01=Olga MoreiraCategory1=Non-FictionCategory=PBCategory=PBTCOP=CanadaDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
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Product Details
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Dec 2022
  • Publisher: Arcler Press
  • Publication City/Country: Canada
  • Language: English
  • ISBN13: 9781774694978

About

Olga Moreira is a Ph.D. and M.Sc. in Astrophysics and B.Sc. in Physics/Applied Mathematics (Astronomy). She is an experienced technical writer and data analyst. As a graduate student she held two research grants to carry out her work in Astrophysics at two of the most renowned European institutions in the fields of Astrophysics and Space Science (the European Space Agency and the European Southern Observatory). She is currently an independent scientist peer-reviewer and editor. Her research interest is solar physics machine learning and artificial neural networks.

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