Quantitative research
Resource Information
The concept Quantitative research represents the subject, aboutness, idea or notion of resources found in European University Institute Library.
The Resource
Quantitative research
Resource Information
The concept Quantitative research represents the subject, aboutness, idea or notion of resources found in European University Institute Library.
- Label
- Quantitative research
95 Items that share the Concept Quantitative research
Context
Context of Quantitative researchSubject of
No resources found
No enriched resources found
- Algorithms for a New World : When Big Data and Mathematical Models Meet
- An Introduction to Statistics with Python : With Applications in the Life Sciences
- Analysing quantitative data for business and management students
- Analyzing qualitative data : systematic approaches
- Analyzing quantitative data : an introduction for social researchers
- Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions
- Applied data analytics : principles and applications
- Applying the Rasch model in social sciences using R and BlueSky statistics
- Assessing Urban Transportation with Big Data Analysis
- Be data literate : the data literacy skills everyone needs to succeed
- Best practices in data cleaning : a complete guide to everything you need to do before and after collecting your data
- Best practices in quantitative methods
- Big data for insurance companies
- Big data mining and complexity
- Challenging the qualitative-quantitative divide : explorations in case-focused causal analysis
- City, Society, and Digital Transformation : Proceedings of the 2022 INFORMS International Conference on Service Science
- Data Analytics Applications in Emerging Markets
- Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management
- Data analysis for business, economics, and policy
- Data analytics : a small data approach
- Data analytics : concepts, techniques, and applications
- Data driven decisions : a practical toolkit for librarians and information professionals
- Data pipelines pocket reference : moving and processing data for analytic
- Data science
- Data science : theory, analysis, and applications
- Data science foundations : geometry and topology of complex hierarchic systems and big data analytics
- Data science without makeup : a guidebook for end-users, analysts and managers
- David Spiegelhalter on communicating statistics : Podcast
- Defining Enterprise Data and Analytics Strategy : Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies
- Designing quantitative experiments : prediction analysis
- Econometrics and data science : apply data science techniques to model complex problems and implement solutions for economic problems
- Educational Data Analytics for Teachers and School Leaders
- Empirical legal research : a primer
- Event Attendance Prediction in Social Networks
- Foundations of agnostic statistics
- Generalized linear models for bounded and limited quantitative variables
- Handbook of Statistical Bioinformatics
- Handbook of quantitative research methods in entrepreneurship
- Handbook of research methods and applications in empirical finance
- Harvard data science review : HDSR : a microscopic, telescopic, and kaleidoscopic view of data science
- How Data Quality Affects our Understanding of the Earnings Distribution
- How to do your social research project or dissertation
- How to do your social research project or dissertation
- Information Retrieval in Bioinformatics : A Practical Approach
- Interpretive quantification : methodological explorations for critical and constructivist IR
- Introduction to data mining and analytics with machine learning in R and Python
- Introduction to data science : data analysis and prediction algorithms with R
- Linear regression : an introduction to statistical models
- Logistische Regressionsanalyse : eine Einführung
- Machine learning for big data analyis
- Maths meets myths : quantitative approaches to ancient narratives
- Mechanistic Data Science for STEM Education and Applications
- Methods matter : improving causal inference in educational and social science research
- Model identification and data analysis
- Modern Classification and Data Analysis : Methodology and Applications to Micro- and Macroeconomic Problems
- More Judgment Than Data : Data Literacy and Decision-Making
- Méthodes qualitatives, quantitatives et mixtes : dans la recherche en sciences humaines, sociales et de la santé
- Novel Mathematics Inspired by Industrial Challenges
- Object oriented data analysis
- Open Data Governance and Its Actors : Theory and Practice
- Optimal Quantification and Symmetry
- Practical propensity score methods using R
- Principles and methods for data science
- Proceedings of the Forum "Math-for-Industry" 2018 : Big Data Analysis, AI, Fintech, Math in Finances and Economics
- Proceedings of the Forum "Math-for-Industry" 2019 : Mathematics for the Primary Industries and the Environment
- Q-squared : combining qualitative and quantitative approaches in poverty analysis
- Q-squared : combining qualitative and quantitative approaches in poverty analysis
- Quantitative methods : for business, management and finance
- Quantitative methods in archaeology using R
- Quantitative research in education : a primer
- Quantitative techniques in business, management and finance : a case-study approach
- Recent Developments in Statistics and Data Science : SPE2021, Évora, Portugal, October 13-16
- Regression : Models, Methods and Applications
- Regression models for categorical and count data
- Researching religion : why we need social science
- Seven rules for social research
- Seven rules for social research
- Smart Prisons
- Statistical inference and probability
- Statistical inference via data science : a ModernDive, into R and the tidyverse
- Statistics Applied With Excel : Data Analysis Is (Not) an Art
- Strategic analytics
- Studying quantitative methods
- Survey scales : a guide to development, analysis, and reporting
- Teaching quantitative methods : getting the basics right
- The Rise of Artificial Intelligence and Big Data in Pandemic Society : Crises, Risk and Sacrifice in a New World Order
- The data gaze : capitalism, power and perception
- The limits of the numerical : the abuses and uses of quantification
- The seductions of quantification : measuring human rights, gender violence, and sex trafficking
- The structure and dynamics of cities : urban data analysis and theoretical modeling
- Theory and credibility : integrating theoretical and empirical social science
- Using grounded theory with mixed methods : Podcast
- Valuing businesses using regression analysis : a quantitative approach to the guideline company transaction method
- Who's bigger? : where historical figures really rank
- Writing up quantitative research in the social and behavioral sciences
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/resource/gRwwPsP1jvc/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/gRwwPsP1jvc/">Quantitative research</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="https://link.library.eui.eu/">European University Institute Library</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Concept Quantitative research
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/resource/gRwwPsP1jvc/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/gRwwPsP1jvc/">Quantitative research</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="https://link.library.eui.eu/">European University Institute Library</a></span></span></span></span></div>
