ENBIS-24 Leuven Conference

Session

Handling categorical and ordinal data

16 Sept 2024, 13:30

Leuven, Belgium

Conveners

Handling categorical and ordinal data

• Christian Weiß (Helmut Schmidt University)

10. Tool for One-way and Two-way CATANOVA and ORDANOVA for Analysis of Variation in a Cross-balanced Design and Power of a Test

Dr Yariv N. Marmor (BRAUDE - College of Engineering, Karmiel)

16/09/2024, 13:30

Stochastic Modelling

A tool for analysis of variation of qualitative (nominal) or semi-quantitative (ordinal) data obtained according to a cross-balanced design is developed based on one-way and two-way CATANOVA and ORDANOVA. The tool calculates the frequencies and relative frequencies of the variables, and creates the empirical distributions for the data. Then the tool evaluates the total data variation and its...

56. Repeatability and Reproducibility of categorical measurements

Dr Yariv N. Marmor (BRAUDE - College of Engineering, Karmiel)

16/09/2024, 13:50

Machine Learning

Classification precision is particularly crucial in scenarios where the cost of false output is high, e.g. medical diagnosis, search engine results, product quality control etc. A statistical model for analyzing classification's precision from collaborative studies will be presented. Classification (categorical measurement) means that the object’s property under study is presented by each...

80. A Unified Framework for Choice Experiments: Integrating Strict Preferences and Ties

Yuan Xi (KU Leuven)

16/09/2024, 14:10

Stochastic Modelling

In most discrete choice experiments (DCEs), respondents are asked to choose their preferred alternative. But it is also possible to ask them to indicate the worst, or the best and worst alternative among the provided alternatives or to rank all or part of the alternatives in decreasing preference. In all these situations, it is commonly assumed that respondents only have strict preferences...