Midlands State University Library

Multiple comparisons problem: (Record no. 162715)

MARC details
000 -LEADER
fixed length control field 02071nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240503081740.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230627b |||||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 13504851
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
Language of cataloging English
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HB1.A666 APP
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Cummins, M
Relator term author
245 10 - TITLE STATEMENT
Title Multiple comparisons problem:
Remainder of title recent advances applied to energy and emissions
Statement of responsibility, etc. created by M. Cummins
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York:
Name of producer, publisher, distributor, manufacturer Taylor and Francis,
Date of production, publication, distribution, manufacture, or copyright notice 2013
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Applied economics letters
Volume/sequential designation Volume 20, number 9
520 3# - SUMMARY, ETC.
Summary, etc. Within the field of empirical finance, the econometric analysis of markets commonly suffers from the well-established problem of data-snooping bias, whereby there is a likelihood that statistically significant results may be identified by pure random chance alone. This is the multiple comparisons problem resulting from Multiple Hypothesis Testing (MHT). Recent advances in MHT techniques to control the multiple comparisons problem are uniquely showcased within a VAR and Granger causality testing of energy and emissions market interactions. Four generalized p-value-based MHT techniques show no evidence of interactions between European Union Allowance (EUA) prices and a range of energy prices – spanning key oil, gas, coal and electricity markets – over the first half or so (2008–2010) of Phase II of the EU Emissions Trading Scheme. The generalized familywise error rate procedures show evidence of regional and cross-regional interactions within European electricity markets. However, in contrast, the more conservative false discovery proportion procedures identify much fewer statistically significant relationship and, indeed, show little evidence of such cross-regional electricity market interactions.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multiple comparisons problem
Form subdivision Multiple hypothesis testing
General subdivision Generalised familywise error rate
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1080/13504851.2012.761334
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 15/01/2014 Vol. 20, no. 9 (pages 903-909)   HB1.A666 APP 03/05/2024 SP17975 03/05/2024 Journal Article For In house Use