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CROS

Classification

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Projects and communities

Global city and settlement definition

[no-lexicon] This site provides information on the joint work of the EU, FAO, ILO, OECD, UN-Habitat and World Bank to develop a global city and settlement definition.

Documents

Discussion paper (WP3 KOMUSO)

LR2_5 Effect of classification errors on domain level estimates in business statistics

Guarnere U., Variale R. Estimation from contaminated multi-source data based on latent class models. Statistical Journal of the IAOS, vol. Preprint, no. Preprint, [no-lexicon]pp[/no-lexicon]. 1-8, 2015

LR2_4 A Comparison of Methodologies for Classification of Administrative Records - Quality for Census Enumeration

Darcy Steeg Morris , A Comparison of Methodologies for Classification of Administrative Records (Quality for Census Enumeration ) JSM 2014 - Survey Research Methods Section pp 1729-1743 http://ww2.amstat.org/sections/SR

LR2_1 Estimating classification errors in administrative and survey variables by latent class analysis

LR1_1 Effect of classification errors on domain level estimates in business statistics

Estimation of bias and variance of the statistic of interest.

Presentation at the OECD National Urban Policy conference

Developing a global, people-based definition of cities and settlements

More documents »