Verfügbarkeit: Empirical likelihood and quantile methods for time series

Empirical likelihood and quantile methods for time series: efficiency, robustness, optimality, and prediction

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Bibliographische Detailangaben
Hauptverfasser:	Liu, Yan (VerfasserIn), Akashi, Fumiya (VerfasserIn), Taniguchi, Masanobu 1951- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Singapore Springer [2018]
Schriftenreihe:	SpringerBriefs in statistics JSS research series in statistics
Schlagworte:	Statistical Theory and Methods Statistics for Business, Management, Economics, Finance, Insurance Statistics for Social Sciences, Humanities, Law Mathematical statistics Statistics
Online-Zugang:	BTU01 FHR01 FRO01 FWS01 FWS02 HTW01 TUM01 UBM01 UBT01 UBW01 UEI01 UER01 UPA01 Volltext
Beschreibung:	1 Online-Ressource (X, 136 Seiten, 10 illus., 9 illus. in color)
ISBN:	9789811001529
ISSN:	2364-0057
DOI:	10.1007/978-981-10-0152-9

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Datensatz im Suchindex

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indexdate	2024-08-01T14:01:50Z
institution	BVB
isbn	9789811001529
issn	2364-0057
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-030775064
oclc_num	1081388400
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physical	1 Online-Ressource (X, 136 Seiten, 10 illus., 9 illus. in color)
psigel	ZDB-2-SMA ZDB-2-SMA_2018
publishDate	2018
publishDateSearch	2018
publishDateSort	2018
publisher	Springer
record_format	marc
series2	SpringerBriefs in statistics JSS research series in statistics
spellingShingle	Liu, Yan Akashi, Fumiya Taniguchi, Masanobu 1951- Empirical likelihood and quantile methods for time series efficiency, robustness, optimality, and prediction Statistical Theory and Methods Statistics for Business, Management, Economics, Finance, Insurance Statistics for Social Sciences, Humanities, Law Mathematical statistics Statistics
title	Empirical likelihood and quantile methods for time series efficiency, robustness, optimality, and prediction
title_auth	Empirical likelihood and quantile methods for time series efficiency, robustness, optimality, and prediction
title_exact_search	Empirical likelihood and quantile methods for time series efficiency, robustness, optimality, and prediction
title_full	Empirical likelihood and quantile methods for time series efficiency, robustness, optimality, and prediction Yan Liu, Fumiya Akashi, Masanobu Taniguchi
title_fullStr	Empirical likelihood and quantile methods for time series efficiency, robustness, optimality, and prediction Yan Liu, Fumiya Akashi, Masanobu Taniguchi
title_full_unstemmed	Empirical likelihood and quantile methods for time series efficiency, robustness, optimality, and prediction Yan Liu, Fumiya Akashi, Masanobu Taniguchi
title_short	Empirical likelihood and quantile methods for time series
title_sort	empirical likelihood and quantile methods for time series efficiency robustness optimality and prediction
title_sub	efficiency, robustness, optimality, and prediction
topic	Statistical Theory and Methods Statistics for Business, Management, Economics, Finance, Insurance Statistics for Social Sciences, Humanities, Law Mathematical statistics Statistics
topic_facet	Statistical Theory and Methods Statistics for Business, Management, Economics, Finance, Insurance Statistics for Social Sciences, Humanities, Law Mathematical statistics Statistics
url	https://doi.org/10.1007/978-981-10-0152-9
work_keys_str_mv	AT liuyan empiricallikelihoodandquantilemethodsfortimeseriesefficiencyrobustnessoptimalityandprediction AT akashifumiya empiricallikelihoodandquantilemethodsfortimeseriesefficiencyrobustnessoptimalityandprediction AT taniguchimasanobu empiricallikelihoodandquantilemethodsfortimeseriesefficiencyrobustnessoptimalityandprediction

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