Advanced techniques for collecting statistical data
eBook - PDF

Advanced techniques for collecting statistical data

  1. 409 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Advanced techniques for collecting statistical data

About this book

"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.

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Yes, you can access Advanced techniques for collecting statistical data by Olga Moreira in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Arcler Press
Year
2023
eBook ISBN
9781774695470
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. DECLARATION
  5. ABOUT THE EDITOR
  6. TABLE OF CONTENTS
  7. List of Contributors
  8. List of Abbreviations
  9. Preface
  10. Chapter 1 Series: Practical Guidance to Qualitative Research. Part 1: Introduction
  11. Chapter 2 Series: Practical Guidance to Qualitative Research. Part 2: Context, Research Questions and Designs
  12. Chapter 3 Series: Practical Guidance to Qualitative Research. Part 3: Sampling, Data Collection and Analysis
  13. Chapter 4 Series: Practical Guidance to Qualitative Research. Part 4: Trustworthiness and Publishing
  14. Chapter 5 Participant Observation as a Data Collection Method
  15. Chapter 6 Attitudes towards Participation in a Passive Data Collection Experiment
  16. Chapter 7 An Integrative Review on Methodological Considerations in Mental Health Research – Design, Sampling, Data Collection Procedure and Quality Assurance
  17. Chapter 8 Wiki Surveys: Open and Quantifiable Social Data Collection
  18. Chapter 9 Towards a Standard Sampling Methodology on Online Social Networks: Collecting Global Trends on Twitter
  19. Chapter 10 Mobile Data Collection: Smart, but Not (Yet) Smart Enough
  20. Chapter 11 Comparing a Mobile Phone Automated System With a Paper and Email Data Collection System: Substudy Within a Randomized Controlled Trial
  21. Chapter 12 Big Data Collection and Object Participation Willingness: An Analytical Framework from the Perspective of Value Balance
  22. Chapter 13 Research on Computer Simulation Big Data Intelligent Collection and Analysis System
  23. Chapter 14 Development of a Mobile Application for Smart Clinical Trial Subject Data Collection and Management
  24. Chapter 15 The CoronaSurveys System for COVID-19 Incidence Data Collection and Processing
  25. Chapter 16 Artificial Intelligence Based Body Sensor Network Framework— Narrative Review: Proposing an End-to-End Framework using Wearable Sensors, Real-Time Location Systems and Artificial Intelligence/Machine Learning Algorithms for Data Collection, Data
  26. Chapter 17 DAViS: a Unified Solution for Data Collection, Analyzation, and Visualization in Real-time Stock Market Prediction
  27. Index
  28. Back Cover