Temat: nonresponse bias - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Models for survey nonresponse and bias adjustment techniques
Autorzy:: Ayhan, H. Öztaş
Powiązania:: https://bibliotekanauki.pl/articles/18105172.pdf
Data publikacji:: 2023-06-13
Wydawca:: Główny Urząd Statystyczny
Tematy:: response rate
nonresponse bias
nonresponse rate
sample survey
survey error
Opis:: Survey statisticians have been dealing with the issues of nonresponse in sample surveys for many years. Due to the complex nature of the mechanism, so far it has not been easy to find a general solution to this problem. In this paper, several aspects of this topic will be elaborated on: the survey unit nonresponse bias has been examined alternatively by taking response amounts which are fixed initially and also by taking the response amounts as random variables. An overview of the components of the bias due to nonresponse will be performed. Nonresponse bias components are illustrated for each alternative approach and the amount of bias was computed for each case.
Źródło:: Statistics in Transition new series; 2023, 24, 3; 139-149
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Nonresponse Bias in The Survey of Youth Understanding of Science and Technology in Bogotá
Autorzy:: Castellanos, Edgar Mauricio Bueno
Powiązania:: https://bibliotekanauki.pl/articles/466054.pdf
Data publikacji:: 2012
Wydawca:: Główny Urząd Statystyczny
Tematy:: Sampling design
nonresponse bias
calibration
Opis:: The Colombian Observatory of Science and Technology -OCyT- developed, in 2009, a survey about understanding of Science and Technology in students of high school in Bogotá, Colombia. The sampling design was stratified according to the nature of school (public or private). Two sources of unit nonresponse were detected. The first one corresponds to schools that did not allowed to collect information. The second source corresponds to students who did not assist during the days when survey was applied. Estimates were obtained through two different approaches. Results obtained in both cases do not show visible differences when estimating ratios; even though, some great differences were observed when estimating totals. Results obtained using the second approach are believed to be more reliable because of the methodology used to handle item nonresponse.
Źródło:: Statistics in Transition new series; 2012, 13, 1; 79-94
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Bias Reduction of Finite Population Imputation by Kernel Methods
Autorzy:: Pettersson, Nicklas
Powiązania:: https://bibliotekanauki.pl/articles/465881.pdf
Data publikacji:: 2013
Wydawca:: Główny Urząd Statystyczny
Tematy:: bayesian bootstrap
boundary and nonresponse bias missing data
multiple imputation
Pólya urn models
real donor imputation
Opis:: Missing data is a nuisance in statistics. Real donor imputation can be used with item nonresponse. A pool of donor units with similar values on auxiliary variables is matched to each unit with missing values. The missing value is then replaced by a copy of the corresponding observed value from a randomly drawn donor. Such methods can to some extent protect against nonresponse bias. But bias also depends on the estimator and the nature of the data. We adopt techniques from kernel estimation to combat this bias. Motivated by Pólya urn sampling, we sequentially update the set of potential donors with units already imputed, and use multiple imputations via Bayesian bootstrap to account for imputation uncertainty. Simulations with a single auxiliary variable show that our imputation method performs almost as well as competing methods with linear data, but better when data is nonlinear, especially with large samples.
Źródło:: Statistics in Transition new series; 2013, 14, 1; 139-160
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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