Survey Methodology - June 2016, vol. 42, no. 1

Survey Methodology - June 2016, vol. 42, no. 1 The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves. 2022-02-23 Statistics Canada STATCAN.infostats-infostats.STATCAN@canada.ca ProcessesBibliographiesModelsStatisticiansSurvey methodologySurveys Statistical matching using fractional imputation HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14539-eng.htm Statistical matching using fractional imputation HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14544-fra.htm Statistical matching using fractional imputation PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14539-eng.pdf Statistical matching using fractional imputation PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14544-fra.pdf Register-based sampling for household panels HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14544-eng.htm Register-based sampling for household panels HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14538-fra.htm Register-based sampling for household panels PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14544-eng.pdf Register-based sampling for household panels PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14538-fra.pdf Nonresponse adjustments with misspecified models in stratified designs HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14546-eng.htm Nonresponse adjustments with misspecified models in stratified designs HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14541-fra.htm Nonresponse adjustments with misspecified models in stratified designs PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14546-eng.pdf Nonresponse adjustments with misspecified models in stratified designs PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14541-fra.pdf Comparison of unit level and area level small area estimators HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14540-eng.htm Comparison of unit level and area level small area estimators HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14543-fra.htm Comparison of unit level and area level small area estimators PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14540-eng.pdf Comparison of unit level and area level small area estimators PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14543-fra.pdf Comparison of some positive variance estimators for the Fay-Herriot small area model HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14542-eng.htm Comparison of some positive variance estimators for the Fay-Herriot small area model HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14545-fra.htm Comparison of some positive variance estimators for the Fay-Herriot small area model PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14542-eng.pdf Comparison of some positive variance estimators for the Fay-Herriot small area model PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14545-fra.pdf A short note on quantile and expectile estimation in unequal probability samples HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14545-eng.htm A short note on quantile and expectile estimation in unequal probability samples HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14540-fra.htm A short note on quantile and expectile estimation in unequal probability samples PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14545-eng.pdf A short note on quantile and expectile estimation in unequal probability samples PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14540-fra.pdf A note on regression estimation with unknown population size HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14543-eng.htm A note on regression estimation with unknown population size HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14542-fra.htm A note on regression estimation with unknown population size PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14543-eng.pdf A note on regression estimation with unknown population size PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14542-fra.pdf A generalized Fellegi-Holt paradigm for automatic error localization HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14538-eng.htm A generalized Fellegi-Holt paradigm for automatic error localization HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14539-fra.htm A generalized Fellegi-Holt paradigm for automatic error localization PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14538-eng.pdf A generalized Fellegi-Holt paradigm for automatic error localization PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14539-fra.pdf A comparison between nonparametric estimators for finite population distribution functions HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14541-eng.htm A comparison between nonparametric estimators for finite population distribution functions HTML https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14546-fra.htm A comparison between nonparametric estimators for finite population distribution functions PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14541-eng.pdf A comparison between nonparametric estimators for finite population distribution functions PDF https://www.statcan.gc.ca/pub/12-001-x/2016001/article/14546-fra.pdf

The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.

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