Hulliger, Beat

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Hulliger, Beat

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Gerade angezeigt 1 - 9 von 9
  • Publikation
    Treatment of Multivariate Outliers in Incomplete Business Survey Data
    (Austrian Journal of Statistics, 03/2016) Hulliger, Beat; Bill, Marc [in: Austrian Journal of Statistics]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Preface Special Issue on NTTS2013
    (De Gruyter, 02.07.2015) Hulliger, Beat; Karlberg, Martin; Biffignandi, Silvia; Daas, Piet J.H.; Holmberg, Andreas; Jaques, Pascal; Lehtonen, Risto; Münnich, Ralf; Shlomo, Natalie; Silberman, Roxane; Stoop, Ineke [in: Journal of Official Statistics]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    The Quintile Share Ratio in location analysis
    (Elsevier, 15.05.2014) Drezner, Tammy; Drezner, Zvi; Hulliger, Beat [in: European Journal of Operational Research]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Robust, distribution-free inference for income share ratios under complex sampling
    (Springer, 26.05.2013) Hulliger, Beat; Schoch, Tobias [in: AStA Advances in Statistical Analysis]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Combining geographical information and traditional plots: the checkerplot
    (Taylor & Francis, 15.06.2012) Hulliger, Beat; Templ, Matthias; Kowarik, Alexander; Fürst, Karin [in: International Journal of Geographical Information Science]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Imputation of Housing Rents for Owners Using Models With Heckman Correction
    (European Survey Research Association, 2012) Hulliger, Beat; Wiegand, Gordon [in: Survey Research Methods]
    The direct income of owners and tenants of dwellings is not comparable since the owners have a hidden income from the investment in their dwelling. This hidden income is considered a part of the disposable income of owners. It may be predicted with the help of a linear model of the rent. Since such a model must be developed and estimated for tenants with observed market rents a selection bias may occur. The selection bias can be minimised through a Heckman correction. The paper applies the Heckman correction to data from the Swiss Statistics on Income and Living Conditions. The Heckman method is adapted to the survey context, the modeling process including the choice of covariates is explained and the effect of the prediction using the model is discussed.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Two Measures for Sample Size Determination
    (European Survey Research Association, 01.04.2011) Eichenberger, Philippe; Hulliger, Beat; Potterat, Jann [in: Survey Research Methods]
    Social surveys often must estimate the sizes or the proportions of many small groups and differences among them. The discussion of the needed precision of the estimators and the corresponding sample size is difficult, in particular when lay persons are involved. Two measures are developed which help in this discussion of the precision. These measures are called precision resolutions. The first of these measures, the size resolution, is derived from approximations to the probability of not observing a group in a sample and the second measure, the difference resolution, addresses the difference of two proportions. The precision resolutions are operationalisations of the smallest group or difference which can be estimated from a sample. Since they embody elements of statistical hypothesis tests without the need of a complete test specification they are simple to specify and nevertheless contain the necessary elements for sample size determination. The precision resolutions lead to the determination of the sample size for simple random samples but extensions to more complex samples are possible with the help of the design effect. The precision resolutions were developed for the planning of the Swiss Population Survey and this survey as well as the European Social Survey serve as examples of their application.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    The BACON-EEM Algorithm for Multivariate Outlier Detection in Incomplete Survey Data
    (Statistics Canada, 2008) Béguin, Cédric; Hulliger, Beat [in: Survey Methodology]
    01A - Beitrag in wissenschaftlicher Zeitschrift