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KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies -
Imputation of Regional Price Indices using the Example of Bavaria:
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9783863095239 - KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies als Taschenbuch von Sara Bleninger
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KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies als Taschenbuch von Sara Bleninger (?)

ISBN: 9783863095239 (?) bzw. 3863095235, in Deutsch, Otto-Friedrich-Uni, Taschenbuch, neu

Versandkostenfrei
Von Händler/Antiquariat
KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies ab 22.5 EURO Imputation of Regional Price Indices using the Example of Bavaria Schriften aus der Fakultät Sozial- und Wirtschaftswissenschaften der Otto-Friedrich-Universität Bamberg
Bestellnummer des Händlers: 31966520
Bestellnummer bei der Plattform Ebook.de (TB): 21775821119
Kategorie: Medien > Bücher
Daten vom 01.04.2018 17:14h
ISBN (andere Schreibweisen): 3-86309-523-5, 978-3-86309-523-9
9783863095239 - Sara Bleninger: KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies - Imputation of Regional Price Indices using the Example of Bavaria
2
Sara Bleninger (?):

KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies - Imputation of Regional Price Indices using the Example of Bavaria (?)

ISBN: 9783863095239 (?) bzw. 3863095235, in Deutsch, Otto-Friedrich-Uni, Taschenbuch, neu

Versandkostenfrei
Von Händler/Antiquariat
KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies: Multiple imputation is a method to handle the problem of missing values in a dataset. As it accounts for the uncertainty brought in by the missing data, it is possible to conduct reliable statistical tests after this method has been implemented. Kriging uses neighbourhood effects to predict values of unobserved regions. It can be seen as an imputation technique. The unobserved regions are missing data points, and the kriging predictions are the imputations. Due to the fact of being a single imputation technique, no proper statistical inferences are possible after filling the dataset. If spatially dependent data face the problem of missing data and a proper statistical inference is needed, a modelling of the spatial correlation in the multiple imputation model is needed. Here this is prevailed by implementing kriging in the model used for multiple imputation. We call the resulting method KriMI. The exact problem can be found when looking at regional price levels in Bavaria. The Bavarian State Office for Statistics surveys the prices which are needed to compute the price index only in a few regions. The prices of the unobserved regions are treated as missing data. Englisch, Taschenbuch
Bestellnummer des Händlers: 9783863095239
Bestellnummer bei der Plattform Rheinberg-Buch.de (N): 18889_268807_9783863095239
Daten vom 01.04.2018 17:14h
ISBN (andere Schreibweisen): 3-86309-523-5, 978-3-86309-523-9
9783863095239 - Bleninger, Sara: KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies
3
Bleninger, Sara (?):

KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies (?)

ISBN: 9783863095239 (?) bzw. 3863095235, in Deutsch, Otto-Friedrich-Uni / University of Bamberg Press, Taschenbuch, neu

Versandkosten nach: Deutschland, Versandkostenfrei
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1]
Multiple imputation is a method to handle the problem of missing values in a dataset. As it accounts for the uncertainty brought in by the missing data, it is possible to conduct reliable statistical tests after this method has been implemented. Kriging uses neighbourhood effects to predict values of unobserved regions. It can be seen as an imputation technique. The unobserved regions are missing data points, and the kriging predictions are the imputations. Due to the fact of being a single imputation technique, no proper statistical inferences are possible after filling the dataset. If spatially dependent data face the problem of missing data and a proper statistical inference is needed, a modelling of the spatial correlation in the multiple imputation model is needed. Here this is prevailed by implementing kriging in the model used for multiple imputation. We call the resulting method KriMI. The exact problem can be found when looking at regional price levels in Bavaria. The Bavarian State Office for Statistics surveys the prices which are needed to compute the price index only in a few regions. The prices of the unobserved regions are treated as missing data. graph. Darst., Kt. Versandfertig in 2-4 Wochen, Taschenbuch, Neuware, offene Rechnung (Vorkasse vorbehalten)
Kommentar des Händlers/Antiquariats buecher.de GmbH & Co. KG, [1]:
Händlerbewertung: 99.0%
Bestellnummer bei der Plattform Booklooker.de: A02jTk1j01ZZj
Daten vom 01.04.2018 17:14h
ISBN (andere Schreibweisen): 3-86309-523-5, 978-3-86309-523-9
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