1zm31 Samenvattingen, Aantekeningen en Examens

Bootstrapping - -An approach to validating a multivariate model by drawing a large number of sub- samples and estimating models for each subsample. Estimates from all the subsamples are then com- bined, providing not only the "best" estimated coefficients (e.g., means of each estimated coefficient across all the subsample models), but their expected variability and thus their likelihood of differing from zero; that is, are the estimated coefficients statistically different from zero or not? Th...

Multivariate Data Analysis - -Research that involves three or more, or that is concerned with underlying dimensions among multiple variables, will involve multivariate statistical analysis. -Variate - -A mathematical way in which a set of variables can be represented with one equation. A linear combination of variables, each contributing to the overall meaning of the variate based upon an empirically derived weight. -Dependence techniques - -Explain or predict one or more dependent...

Types of Multivariate Techniques - -1. Principal components and common factor analysis 2. Multiple regression and Multiple correlation 3. Multiple discriminant analysis and logistic regression 4. Canonical correlation analysis 5. Multivaiate analysis of variance covariance 6. Conjoint analysis 7. Cluster analysis 8. Perceptual mapping, AKA Multidimentional scaling 9. Correspondence Analysis 10. Structural equation modeling and confirmatory factor analysis -Factor analysis - -Analyzin...

Summary of the whole course Multivariate Statistics (1ZM31). Written in the year 2021-2022, provides an overview of all the book chapters, lectures and even the tutorials. Comprehensive review to aid your learning

Types of Multivariate Techniques - -1. Principal components and common factor analysis 2. Multiple regression and Multiple correlation 3. Multiple discriminant analysis and logistic regression 4. Canonical correlation analysis 5. Multivaiate analysis of variance covariance 6. Conjoint analysis 7. Cluster analysis 8. Perceptual mapping, AKA Multidimentional scaling 9. Correspondence Analysis 10. Structural equation modeling and confirmatory factor analysis -Factor analysis - -Analyzi...

All steps that are taken in the Tutorials and Assignments of this course. Because of the open-book nature of this course, this document can be used during the exam.

Multivariate Analysis - -deals with the statistical analysis of observations where there are multiple responses on each observational unit. -Multivariate Analysis - -This essentially models reality where each situation, product, or decision involves more than a single variable. -quantum of data - -Despite the ____________________ available, the ability to obtain a clear picture of what is going on and make intelligent decisions is a challenge. -process the information in a meaningful fa...

Multivariate Data Analysis - -Research that involves three or more, or that is concerned with underlying dimensions among multiple variables, will involve multivariate statistical analysis. -Variate - -A mathematical way in which a set of variables can be represented with one equation. A linear combination of variables, each contributing to the overall meaning of the variate based upon an empirically derived weight. -Dependence techniques - -Explain or predict one or more dependent...

Which type of multivariate analysis should be used when a researcher wants to estimate the utility that consumers associate with different product features? - -conjoint analysis -Which type of multivariate analysis should be used when a researcher wants to identify subgroups of individuals that are homogeneous within subgroups and different from other subgroups? - -cluster analysis -Which type of multivariate analysis should be used when a researcher wants to reduce a set of variables to ...