Statistics & Methodology
Tilburg University (UVT)
Here are the best resources to pass Statistics & Methodology. Find Statistics & Methodology study guides, notes, assignments, and much more.
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Class notes
Statistics summary Master Data Science & Society
Statistics summary for the Master Data Science & Society
Lisette17
Summary
Summary Statistics & Methodology (880259-M-6)
PopularDetailed summary of all lectures and additional notes, explanations and examples for the course "Statistics and Methodology" at Tilburg University which is part of the Master Data Science and Society. Course was given by L.V.D.E. Vogelsmeier during the second semester, block three of the academic year 2021 / 2022 (January to March 2022).
hannahgruber
Summary
Summary Statistics
all necessary info
adata
Package deal
Summaries + Cheat Sheets for all compulsory courses of Master Data Science & Society (Statistics, Data Mining, Machine Learning)
Summaries plus cheat sheets (not for Statistics since no cheat sheet was allowed during the exam) of the mandatory subjects Statistics and Methodology (880259-M-6), Data Mining for Business and Governance (880022-M-6) and Machine Learning (880083-M-6).
hannahgruber
Summary
Statistic and Methodology Summary
Statistic and Methodology Summary
dstilburg202021
Summary
Samenvatting Statistics en Methodology
Summary including all the effects in R and images of examples.
robinvanheesch1
Class notes
Complete summary of all lectures of Statistics & Methodology
Summary of all lectures for the course Statistics & Methodology
48723
Summary
Schafer, J. & Graham, J. – Missing Data: Our view of the State of the Art
Article by Schafer and Graham on missing data
lindawijnhoven
Summary
Greenland et al. – Statistical tests, P values, confindence intervals, and power: a guide to misinterpretations
Article by Greenland et al. on statistical tests, p-values, CI and power
lindawijnhoven
Summary
De Mast, J. & Trip, A. – Exploratory Data Analysis in Quality-Improvement Projects
Article by de Mast and Trip on EDA
lindawijnhoven
Summary
Arguinis et al. – Best-Practice Recommendations for Defining, Identifying, and Handling Outliers
Summary of artical by Arguinis et al. on defining, identifying and handling outliers.
lindawijnhoven
Summary
Introduction to Statistical Learning
Summary of Introduction to Statistical Learning. Includes graphs examples from the book. Chapter 2, 3, 4, 5, 7
lindawijnhoven
Summary
Statistics & Methodology 2017/2018 - Summary
Summary Statistics & Methodology Data Science Logistic Linear Regression Correlation Distribution Centering Estimates Error R Rstudio
JHessels