Homogeneity Analysis of Event History Data

Autor: Jan de Leeuw, Peter van der Heijden, Ita Kreft
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Zdroj: Leeuw, Jan de; Heijden, Peter van der; & Kreft, Ita. (2010). Homogeneity Analysis of Event History Data. UCLA: Department of Statistics, UCLA. Retrieved from: http://www.escholarship.org/uc/item/2hr3q8s9
Jan de Leeuw; Peter van der Heijden; & Ita Kreft. (2011). Homogeneity Analysis of Event History Data. Department of Statistics, UCLA. UCLA: Department of Statistics, UCLA. Retrieved from: http://www.escholarship.org/uc/item/2hf577fc
Popis: The technique of homogeneity analysis (which is also known as multiple correspondence analysis) is applied to event history data obtained in the National Travel Survey of the Netherlands Central Bureau of Statistics. We introduce the theory of homogeneity analysis by using the idea of optimal quantification or transformation. Optimality is defined in terms of a ratio of quadratic forms, where both quadratic forms are components of the total variance after quantification. This defines a large class of optimal quantification techniques, with the size of the class depending on the number of independent sources of variation in the study design.
Databáze: OpenAIRE