Regression analysis - Samenvattingen en Aantekeningen

Dit document bestaat uit 2 delen. DEEL 1: Dit deel geeft een overzicht van alle hypothesetoetsen met bijhorende toetsingsgrootheid, formule voor p-waarde en beslissingsregel. DEEL 2: Dit deel bevat alle uitgewerkte bewijzen die benoemd worden in het handboek Regression and Analysis of Variance, alsook het extra boek Introduction to Multivariate Statistics en hoofdstuk 17 uit Verklarende Statistiek: Schatten en Toetsen. Deze drie boeken werden allemaal geschreven door Peter Goos.

This summary of Introduction to Research in Marketing includes all lectures with notes as well as a practice exam at the end of all the notes and lectures. - lecture 1: exploratory data analysis, sampling, framework errors - lecture 2: ANOVA - lecture 3 & 4: Linear Regression - lecture 5: Logistic Regression - lecture 6: Factor Analysis - lecture 7: Cluster Analysis - Practice Exam, including answers

This is a detailed summary of the Correlational Research Methods course. It includes notes from the slides together with extra explanations from the book and tutorials.

Summary of Quantitative Innovation Analytics with the topics: 1) Introduction to the course and quantitative models, 2) Theory and research designs, 3) Linear regression in R, 4) Binary logit models, 5) Multilevel regression, 6) Count Models, and 7) Time to event analysis.

This is a summary of the book, lecture slides and SPSS instrustions used in Statistical Reasoning: Theory and Application at the University of Amsterdam.

This document summarizes all test material for the midterm exam of ARMS. Some parts of the Grasple lessons are written in Dutch, but overall in English. With this summary i got an 8 for the exam.

Summary for the course Correlational Research Methods. I included all the info from the lectures, including pictures and SPSS screenshots. My final grade was an 8.5 using this summary.

This document contains a summary of all lectures, tutorials and articles that will be on the exam for the course Financial Accounting Research (6314M0038Y), meaning: all material from week 1-5. This document contains an extensive summary of all lecture and tutorial slides amended with my notes from the lectures and tutorials. Furthermore, I summarized each article in about 1 page following the method recommended by the teacher (Sanjay Bissessur) in week 1 (what-how-why).

An overview/summary of the course 'Modern Methods in Data Analysis' (part of Epidemiology at Utrecht University/UMC Utrecht). Linear Models, Likelihood and Logistic Regression are explained. Also Poisson models and generalized linear models, Survival Analysis, Resampling methods, Longitudinal Data Analysis are explained.