Coherence Structure and Its Application in Mortality Forecasting

Interaction terms expressed as products of covariates may prove useful in regression problems. A graphical method is presented for identifying potentially useful interaction and related covariates in modeling mortality time series using lagged coherence, a nonlinear extension of the squared coherenc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of statistical theory and practice 2014-10, Vol.8 (4), p.578-590
Hauptverfasser: Khan, Diba, Katzoff, Myron, Kedem, Benjamin
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 590
container_issue 4
container_start_page 578
container_title Journal of statistical theory and practice
container_volume 8
creator Khan, Diba
Katzoff, Myron
Kedem, Benjamin
description Interaction terms expressed as products of covariates may prove useful in regression problems. A graphical method is presented for identifying potentially useful interaction and related covariates in modeling mortality time series using lagged coherence, a nonlinear extension of the squared coherence, and its residual coherence offshoot. The identified covariates are tested for their significance within a regression model using quasi-likelihood and log link.
doi_str_mv 10.1080/15598608.2013.816645
format Article
fullrecord <record><control><sourceid>crossref_infor</sourceid><recordid>TN_cdi_crossref_primary_10_1080_15598608_2013_816645</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1080_15598608_2013_816645</sourcerecordid><originalsourceid>FETCH-LOGICAL-c423t-e257047cec13fb2cd4386c8b09c28a6316d80bf15cdb31c2448fd4aec3ed79db3</originalsourceid><addsrcrecordid>eNqFkE1LAzEQhoMoWKv_wEP-wNZkk03Tk5biR6HiQT2H7Gy2pmyTMkmR_nu3rHrU0wwv87wMDyHXnE040-yGV9VMK6YnJeNiorlSsjoho2NcaMXV6e_O9Dm5SGnDmOJMiBG5W8QPhy6Ao68Z95D36KgNDV3mROe7XefBZh8D9YE-R8y28_lAHyI6sCn7sL4kZ63tkrv6nmPy_nD_tngqVi-Py8V8VYAsRS5cWU2ZnIIDLtq6hEYKrUDXbAaltkpw1WhWt7yCphYcSil120jrQLhmOuuzMZFDL2BMCV1rdui3Fg-GM3O0YH4smKMFM1josWrAUn8e1g7NJu4x9J_-x90OnA9txK39jNg1JttDF7FFG8AnI_5s-AJZUXRs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Coherence Structure and Its Application in Mortality Forecasting</title><source>Springer Nature - Complete Springer Journals</source><creator>Khan, Diba ; Katzoff, Myron ; Kedem, Benjamin</creator><creatorcontrib>Khan, Diba ; Katzoff, Myron ; Kedem, Benjamin</creatorcontrib><description>Interaction terms expressed as products of covariates may prove useful in regression problems. A graphical method is presented for identifying potentially useful interaction and related covariates in modeling mortality time series using lagged coherence, a nonlinear extension of the squared coherence, and its residual coherence offshoot. The identified covariates are tested for their significance within a regression model using quasi-likelihood and log link.</description><identifier>ISSN: 1559-8608</identifier><identifier>EISSN: 1559-8616</identifier><identifier>DOI: 10.1080/15598608.2013.816645</identifier><language>eng</language><publisher>Cham: Taylor &amp; Francis</publisher><subject>All-cause mortality ; GLM ; Lagged coherence ; Prediction ; Primary 62M10 ; Probability Theory and Stochastic Processes ; Residual coherence ; Secondary 62M20 ; Squared coherence ; Statistical Theory and Methods ; Statistics</subject><ispartof>Journal of statistical theory and practice, 2014-10, Vol.8 (4), p.578-590</ispartof><rights>Copyright © Grace Scientific Publishing, LLC</rights><rights>Grace Scientific Publishing 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-e257047cec13fb2cd4386c8b09c28a6316d80bf15cdb31c2448fd4aec3ed79db3</citedby><cites>FETCH-LOGICAL-c423t-e257047cec13fb2cd4386c8b09c28a6316d80bf15cdb31c2448fd4aec3ed79db3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1080/15598608.2013.816645$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1080/15598608.2013.816645$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>Khan, Diba</creatorcontrib><creatorcontrib>Katzoff, Myron</creatorcontrib><creatorcontrib>Kedem, Benjamin</creatorcontrib><title>Coherence Structure and Its Application in Mortality Forecasting</title><title>Journal of statistical theory and practice</title><addtitle>J Stat Theory Pract</addtitle><description>Interaction terms expressed as products of covariates may prove useful in regression problems. A graphical method is presented for identifying potentially useful interaction and related covariates in modeling mortality time series using lagged coherence, a nonlinear extension of the squared coherence, and its residual coherence offshoot. The identified covariates are tested for their significance within a regression model using quasi-likelihood and log link.</description><subject>All-cause mortality</subject><subject>GLM</subject><subject>Lagged coherence</subject><subject>Prediction</subject><subject>Primary 62M10</subject><subject>Probability Theory and Stochastic Processes</subject><subject>Residual coherence</subject><subject>Secondary 62M20</subject><subject>Squared coherence</subject><subject>Statistical Theory and Methods</subject><subject>Statistics</subject><issn>1559-8608</issn><issn>1559-8616</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LAzEQhoMoWKv_wEP-wNZkk03Tk5biR6HiQT2H7Gy2pmyTMkmR_nu3rHrU0wwv87wMDyHXnE040-yGV9VMK6YnJeNiorlSsjoho2NcaMXV6e_O9Dm5SGnDmOJMiBG5W8QPhy6Ao68Z95D36KgNDV3mROe7XefBZh8D9YE-R8y28_lAHyI6sCn7sL4kZ63tkrv6nmPy_nD_tngqVi-Py8V8VYAsRS5cWU2ZnIIDLtq6hEYKrUDXbAaltkpw1WhWt7yCphYcSil120jrQLhmOuuzMZFDL2BMCV1rdui3Fg-GM3O0YH4smKMFM1josWrAUn8e1g7NJu4x9J_-x90OnA9txK39jNg1JttDF7FFG8AnI_5s-AJZUXRs</recordid><startdate>20141002</startdate><enddate>20141002</enddate><creator>Khan, Diba</creator><creator>Katzoff, Myron</creator><creator>Kedem, Benjamin</creator><general>Taylor &amp; Francis</general><general>Springer International Publishing</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20141002</creationdate><title>Coherence Structure and Its Application in Mortality Forecasting</title><author>Khan, Diba ; Katzoff, Myron ; Kedem, Benjamin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-e257047cec13fb2cd4386c8b09c28a6316d80bf15cdb31c2448fd4aec3ed79db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>All-cause mortality</topic><topic>GLM</topic><topic>Lagged coherence</topic><topic>Prediction</topic><topic>Primary 62M10</topic><topic>Probability Theory and Stochastic Processes</topic><topic>Residual coherence</topic><topic>Secondary 62M20</topic><topic>Squared coherence</topic><topic>Statistical Theory and Methods</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khan, Diba</creatorcontrib><creatorcontrib>Katzoff, Myron</creatorcontrib><creatorcontrib>Kedem, Benjamin</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of statistical theory and practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khan, Diba</au><au>Katzoff, Myron</au><au>Kedem, Benjamin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coherence Structure and Its Application in Mortality Forecasting</atitle><jtitle>Journal of statistical theory and practice</jtitle><stitle>J Stat Theory Pract</stitle><date>2014-10-02</date><risdate>2014</risdate><volume>8</volume><issue>4</issue><spage>578</spage><epage>590</epage><pages>578-590</pages><issn>1559-8608</issn><eissn>1559-8616</eissn><abstract>Interaction terms expressed as products of covariates may prove useful in regression problems. A graphical method is presented for identifying potentially useful interaction and related covariates in modeling mortality time series using lagged coherence, a nonlinear extension of the squared coherence, and its residual coherence offshoot. The identified covariates are tested for their significance within a regression model using quasi-likelihood and log link.</abstract><cop>Cham</cop><pub>Taylor &amp; Francis</pub><doi>10.1080/15598608.2013.816645</doi><tpages>13</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1559-8608
ispartof Journal of statistical theory and practice, 2014-10, Vol.8 (4), p.578-590
issn 1559-8608
1559-8616
language eng
recordid cdi_crossref_primary_10_1080_15598608_2013_816645
source Springer Nature - Complete Springer Journals
subjects All-cause mortality
GLM
Lagged coherence
Prediction
Primary 62M10
Probability Theory and Stochastic Processes
Residual coherence
Secondary 62M20
Squared coherence
Statistical Theory and Methods
Statistics
title Coherence Structure and Its Application in Mortality Forecasting
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T17%3A20%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_infor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Coherence%20Structure%20and%20Its%20Application%20in%20Mortality%20Forecasting&rft.jtitle=Journal%20of%20statistical%20theory%20and%20practice&rft.au=Khan,%20Diba&rft.date=2014-10-02&rft.volume=8&rft.issue=4&rft.spage=578&rft.epage=590&rft.pages=578-590&rft.issn=1559-8608&rft.eissn=1559-8616&rft_id=info:doi/10.1080/15598608.2013.816645&rft_dat=%3Ccrossref_infor%3E10_1080_15598608_2013_816645%3C/crossref_infor%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true