Artikel
Model selection in radon data fusion
Fitting parametric models or the use of the empirical cumulative distribution function are problematic when it comes to the estimation of tail probabilities from small samples. A possible remedy is to fuse or combine the small samples with additional data from external sources and base the inference on the so called density ratio model with variable tilt functions, which widens the support of the estimated distribution of interest. This approach is illustrated using residential radon concentration data collected from western Pennsylvania.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Statistics in Transition New Series ; ISSN: 2450-0291 ; Volume: 21 ; Year: 2020 ; Issue: 4 ; Pages: 159-165 ; New York: Exeley
- Thema
-
Tail probabilities
density ratio model
variable tilt functions
Appalachian Plateau
Forest County
Pennsylvania
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Zhang, Xuze
Pyne, Saumyadipta
Kedem, Benjamin
- Ereignis
-
Veröffentlichung
- (wer)
-
Exeley
- (wo)
-
New York
- (wann)
-
2020
- DOI
-
doi:10.21307/stattrans-2020-036
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Zhang, Xuze
- Pyne, Saumyadipta
- Kedem, Benjamin
- Exeley
Entstanden
- 2020
Ähnliche Objekte (12)
NEW METHOD OF VARIABLE SELECTION FOR BINARY DATA CLUSTER ANALYSIS
DECOMPOSITION OF GENDER WAGE GAP IN POLAND USING COUNTERFACTUAL DISTRIBUTION WITH SAMPLE SELECTION
SMALL AREA ESTIMATION FOR SKEWED DATA IN THE PRESENCE OF ZEROES
Confidence bands for a distribution function with merged data from multiple sources
VARIABLE SELECTION IN MULTIVARIATE FUNCTIONAL DATA CLASSIFICATION
Detection of Outliers in Univariate Circular Data by Means of the Outlier Local Factor (LOF)
USING SYMBOLIC DATA IN GRAVITY MODEL OF POPULATION MIGRATION TO REDUCE MODIFIABLE AREAL UNIT PROBLEM (MAUP)
ON MEASURING POLARIZATION FOR ORDINAL DATA: AN APPROACH BASED ON THE DECOMPOSITION OF THE LETI INDEX
THE CHALLENGES OF THE POPULATION CENSUS ROUND OF 2020. OUTLINE OF THE METHODS OF QUALITY ASSESSMENT OF POPULATION CENSUS DATA
A NEW METHOD FOR COVARIATE SELECTION IN COX MODEL
COVARIATE SELECTION FOR SMALL AREA ESTIMATION IN REPEATED SAMPLE SURVEYS
Multi-domain Neyman-Tchuprov optimal allocation
NEW METHOD OF VARIABLE SELECTION FOR BINARY DATA CLUSTER ANALYSIS
DECOMPOSITION OF GENDER WAGE GAP IN POLAND USING COUNTERFACTUAL DISTRIBUTION WITH SAMPLE SELECTION
SMALL AREA ESTIMATION FOR SKEWED DATA IN THE PRESENCE OF ZEROES
Confidence bands for a distribution function with merged data from multiple sources
VARIABLE SELECTION IN MULTIVARIATE FUNCTIONAL DATA CLASSIFICATION
Detection of Outliers in Univariate Circular Data by Means of the Outlier Local Factor (LOF)
USING SYMBOLIC DATA IN GRAVITY MODEL OF POPULATION MIGRATION TO REDUCE MODIFIABLE AREAL UNIT PROBLEM (MAUP)
ON MEASURING POLARIZATION FOR ORDINAL DATA: AN APPROACH BASED ON THE DECOMPOSITION OF THE LETI INDEX
THE CHALLENGES OF THE POPULATION CENSUS ROUND OF 2020. OUTLINE OF THE METHODS OF QUALITY ASSESSMENT OF POPULATION CENSUS DATA
A NEW METHOD FOR COVARIATE SELECTION IN COX MODEL
COVARIATE SELECTION FOR SMALL AREA ESTIMATION IN REPEATED SAMPLE SURVEYS
Multi-domain Neyman-Tchuprov optimal allocation
NEW METHOD OF VARIABLE SELECTION FOR BINARY DATA CLUSTER ANALYSIS
DECOMPOSITION OF GENDER WAGE GAP IN POLAND USING COUNTERFACTUAL DISTRIBUTION WITH SAMPLE SELECTION
SMALL AREA ESTIMATION FOR SKEWED DATA IN THE PRESENCE OF ZEROES
Confidence bands for a distribution function with merged data from multiple sources
VARIABLE SELECTION IN MULTIVARIATE FUNCTIONAL DATA CLASSIFICATION
Detection of Outliers in Univariate Circular Data by Means of the Outlier Local Factor (LOF)
USING SYMBOLIC DATA IN GRAVITY MODEL OF POPULATION MIGRATION TO REDUCE MODIFIABLE AREAL UNIT PROBLEM (MAUP)
ON MEASURING POLARIZATION FOR ORDINAL DATA: AN APPROACH BASED ON THE DECOMPOSITION OF THE LETI INDEX
THE CHALLENGES OF THE POPULATION CENSUS ROUND OF 2020. OUTLINE OF THE METHODS OF QUALITY ASSESSMENT OF POPULATION CENSUS DATA
A NEW METHOD FOR COVARIATE SELECTION IN COX MODEL
COVARIATE SELECTION FOR SMALL AREA ESTIMATION IN REPEATED SAMPLE SURVEYS