A New F-Test Applicable to Large-Scale Data

Abstract In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic...
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Autor*in:	Salehi, Mohsen [verfasserIn] Mohammadpour, Adel Mengersen, Kerrie

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Microarray data Permutation test Null statistic -test

Anmerkung:	© The Authors. Published by Atlantis Press SARL 2019

Übergeordnetes Werk:	Enthalten in: Journal of Statistical Theory and Applications - Paris : Atlantis Press, 2002, 18(2019), 4 vom: Dez., Seite 439-449
Übergeordnetes Werk:	volume:18 ; year:2019 ; number:4 ; month:12 ; pages:439-449

Links:	Volltext

DOI / URN:	10.2991/jsta.d.191217.001

Katalog-ID:	SPR054331595

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allfields	10.2991/jsta.d.191217.001 doi (DE-627)SPR054331595 (SPR)jsta.d.191217.001-e DE-627 ger DE-627 rakwb eng Salehi, Mohsen verfasserin aut A New F-Test Applicable to Large-Scale Data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Authors. Published by Atlantis Press SARL 2019 Abstract In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding F-test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates p-values more accurately than its rival. Microarray data (dpeaa)DE-He213 Permutation test (dpeaa)DE-He213 Null statistic (dpeaa)DE-He213 -test (dpeaa)DE-He213 Mohammadpour, Adel aut Mengersen, Kerrie aut Enthalten in Journal of Statistical Theory and Applications Paris : Atlantis Press, 2002 18(2019), 4 vom: Dez., Seite 439-449 (DE-627)802538924 (DE-600)2798845-4 2214-1766 nnns volume:18 year:2019 number:4 month:12 pages:439-449 https://dx.doi.org/10.2991/jsta.d.191217.001 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2019 4 12 439-449
spelling	10.2991/jsta.d.191217.001 doi (DE-627)SPR054331595 (SPR)jsta.d.191217.001-e DE-627 ger DE-627 rakwb eng Salehi, Mohsen verfasserin aut A New F-Test Applicable to Large-Scale Data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Authors. Published by Atlantis Press SARL 2019 Abstract In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding F-test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates p-values more accurately than its rival. Microarray data (dpeaa)DE-He213 Permutation test (dpeaa)DE-He213 Null statistic (dpeaa)DE-He213 -test (dpeaa)DE-He213 Mohammadpour, Adel aut Mengersen, Kerrie aut Enthalten in Journal of Statistical Theory and Applications Paris : Atlantis Press, 2002 18(2019), 4 vom: Dez., Seite 439-449 (DE-627)802538924 (DE-600)2798845-4 2214-1766 nnns volume:18 year:2019 number:4 month:12 pages:439-449 https://dx.doi.org/10.2991/jsta.d.191217.001 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2019 4 12 439-449
allfields_unstemmed	10.2991/jsta.d.191217.001 doi (DE-627)SPR054331595 (SPR)jsta.d.191217.001-e DE-627 ger DE-627 rakwb eng Salehi, Mohsen verfasserin aut A New F-Test Applicable to Large-Scale Data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Authors. Published by Atlantis Press SARL 2019 Abstract In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding F-test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates p-values more accurately than its rival. Microarray data (dpeaa)DE-He213 Permutation test (dpeaa)DE-He213 Null statistic (dpeaa)DE-He213 -test (dpeaa)DE-He213 Mohammadpour, Adel aut Mengersen, Kerrie aut Enthalten in Journal of Statistical Theory and Applications Paris : Atlantis Press, 2002 18(2019), 4 vom: Dez., Seite 439-449 (DE-627)802538924 (DE-600)2798845-4 2214-1766 nnns volume:18 year:2019 number:4 month:12 pages:439-449 https://dx.doi.org/10.2991/jsta.d.191217.001 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2019 4 12 439-449
allfieldsGer	10.2991/jsta.d.191217.001 doi (DE-627)SPR054331595 (SPR)jsta.d.191217.001-e DE-627 ger DE-627 rakwb eng Salehi, Mohsen verfasserin aut A New F-Test Applicable to Large-Scale Data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Authors. Published by Atlantis Press SARL 2019 Abstract In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding F-test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates p-values more accurately than its rival. Microarray data (dpeaa)DE-He213 Permutation test (dpeaa)DE-He213 Null statistic (dpeaa)DE-He213 -test (dpeaa)DE-He213 Mohammadpour, Adel aut Mengersen, Kerrie aut Enthalten in Journal of Statistical Theory and Applications Paris : Atlantis Press, 2002 18(2019), 4 vom: Dez., Seite 439-449 (DE-627)802538924 (DE-600)2798845-4 2214-1766 nnns volume:18 year:2019 number:4 month:12 pages:439-449 https://dx.doi.org/10.2991/jsta.d.191217.001 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2019 4 12 439-449
allfieldsSound	10.2991/jsta.d.191217.001 doi (DE-627)SPR054331595 (SPR)jsta.d.191217.001-e DE-627 ger DE-627 rakwb eng Salehi, Mohsen verfasserin aut A New F-Test Applicable to Large-Scale Data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Authors. Published by Atlantis Press SARL 2019 Abstract In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding F-test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates p-values more accurately than its rival. Microarray data (dpeaa)DE-He213 Permutation test (dpeaa)DE-He213 Null statistic (dpeaa)DE-He213 -test (dpeaa)DE-He213 Mohammadpour, Adel aut Mengersen, Kerrie aut Enthalten in Journal of Statistical Theory and Applications Paris : Atlantis Press, 2002 18(2019), 4 vom: Dez., Seite 439-449 (DE-627)802538924 (DE-600)2798845-4 2214-1766 nnns volume:18 year:2019 number:4 month:12 pages:439-449 https://dx.doi.org/10.2991/jsta.d.191217.001 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2019 4 12 439-449
language	English
source	Enthalten in Journal of Statistical Theory and Applications 18(2019), 4 vom: Dez., Seite 439-449 volume:18 year:2019 number:4 month:12 pages:439-449
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author	Salehi, Mohsen
spellingShingle	Salehi, Mohsen misc Microarray data misc Permutation test misc Null statistic misc -test A New F-Test Applicable to Large-Scale Data
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topic_title	A New F-Test Applicable to Large-Scale Data Microarray data (dpeaa)DE-He213 Permutation test (dpeaa)DE-He213 Null statistic (dpeaa)DE-He213 -test (dpeaa)DE-He213
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title	A New F-Test Applicable to Large-Scale Data
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title_full	A New F-Test Applicable to Large-Scale Data
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title_sort	new f-test applicable to large-scale data
title_auth	A New F-Test Applicable to Large-Scale Data
abstract	Abstract In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding F-test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates p-values more accurately than its rival. © The Authors. Published by Atlantis Press SARL 2019
abstractGer	Abstract In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding F-test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates p-values more accurately than its rival. © The Authors. Published by Atlantis Press SARL 2019
abstract_unstemmed	Abstract In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding F-test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates p-values more accurately than its rival. © The Authors. Published by Atlantis Press SARL 2019
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title_short	A New F-Test Applicable to Large-Scale Data
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up_date	2024-07-04T01:06:07.257Z
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