Regression model - Samenvattingen en Aantekeningen

A summary containing the slides based on the material: M&M CH14 M&M CH12.2 (contrasts) CH11 sections 1, 2, 3, 4, 5, 6, 7 CH12 section 1, 2, 3, 4, 5 CH13 sections 1, 2, 4 (Not ‘Multiple comparisons of adjusted means’) CH14 sections 1, 2, 3 CH15 sections 1, 2, 3

This document is a summary of everything you need to know for the endterm (and midterm) of the course 'Econometrics' (6012B0453Y) at the University of Amsterdam, taught by Hans van Ophem. This document includes the following topics: log and ln, expected value, variance, covariance, estimators, simple regression, least squares, gauss-markov, homoskedasticity, TSS, SSR, ESS, R^2, hypothesis testing,multiple regression, adjusted R^2, omitted variable bias, functional form, multicollinearity, SER,...

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.

Dit is een hele uitgebreide samenvatting van alle colleges gegeven in het vak statistiek 2. Alle formules en begrippen komen uitgebreid aan bod met voorbeeld sommen en uitleg. Het is erg duidelijk geschreven. Ik heb door enkel deze samenvatting te leren een 8.5 gehaald op het tentamen.

Complete summary of the exam material for the course Introduction to Time Series and Dynamic Econometrics in the 3th year of the Bachelor of Econometrics at the Vrije Universiteit Amsterdam, or the minor Applied Econometrics. The summary is in English. All lectures are in the summary, with extra information on some more complex topics.

Complete summary of the exam material for the course Econometrics 3 (III) in the 3th year of the Bachelor of Econometrics at the Vrije Universiteit Amsterdam. The summary is in English. All lectures are in the summary, with extra information on some more complex topics.

Dit document bevat alle theoretische informatie vanuit de Powerpoint slides die worden besproken in de lessen. Het is geen 'normale' samenvatting, maar echt een overview van alle benodigde stof (incl. formules) met uitleg. Op deze manier is de stof gebundeld en zijn eventuele verbanden duidelijker weergegeven per onderwerp.

Summary of the 2 articles of week 7 of MCEV, for RUG-students. The summarized articles are: Neslin, S. A., Gupta, S., Kamakura, W., Lu, J., & Mason, C. H. (2006). Defection detection: Measuring and understanding the predictive accuracy of customer churn models. Journal of marketing research, 43(2), 204-211. Risselada, H., Verhoef, P. C., & Bijmolt, T. H. (2010). Staying power of churn prediction models. Journal of Interactive Marketing, 24(3), 198-208. Summary of the other weeks are also a...

Complete summary of all content of the Statistical Modelling in Medical Research course (BMs61). This includes a clear description of linear regression and logistic regression, as well as two types of variable selection; backwards elimination and forward selection. The summary provides a description of how to make these models and how to test whether a new model has higher prediction. Odds ratio calculations for logistic regression are provided as well.

Onderwerpen die in de samenvatting worden behandeld (Engels) zijn: linear regression (lineare regressies), discrete choice modelling (logistic regression), tijdsanalyse (temporal analysis/time series analysis) geostatistiek (geostatistics, spatial analysis), structural equation modelling (SEM), factor analysis. De samenvatting bevat naast een uitleg per thema ook een overzichtelijke tabel met de belangrijkste formules, interpretaties, model-fit waarden (Relevantie en significantie) en model...