Time series analysis of average current annual increase in diameter of uneven-aged stand
According to Box-Jenkins principle and ARIMA model, the time series of the average diameter Current Annual Increment of Sabina przewalskii Kom Uneven-Aged Stand was fitted and predicted. A model was constructed and predicted for the sample tree data by Eviews software to select the form of the optim...
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| creator | Xiaoli Fan Hua Yang Xingang Kang Yan Gao Qixiang Feng Zhiwen Gong |
| description | According to Box-Jenkins principle and ARIMA model, the time series of the average diameter Current Annual Increment of Sabina przewalskii Kom Uneven-Aged Stand was fitted and predicted. A model was constructed and predicted for the sample tree data by Eviews software to select the form of the optimal model. The results showed that the AR(2) model was better fitting the series of the average Diameter Current Annual Increment R2=0.4861 and Bias was small. ARIMA model was used for short-term prediction of the series of diameter, which is very useful for prediction of the diameter growth. |
| doi_str_mv | 10.1109/FSKD.2011.6019800 |
| format | Conference Proceeding |
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A model was constructed and predicted for the sample tree data by Eviews software to select the form of the optimal model. The results showed that the AR(2) model was better fitting the series of the average Diameter Current Annual Increment R2=0.4861 and Bias was small. ARIMA model was used for short-term prediction of the series of diameter, which is very useful for prediction of the diameter growth.</description><identifier>ISBN: 9781612841809</identifier><identifier>ISBN: 1612841805</identifier><identifier>EISBN: 9781612841816</identifier><identifier>EISBN: 1612841813</identifier><identifier>EISBN: 1612841791</identifier><identifier>EISBN: 9781612841793</identifier><identifier>DOI: 10.1109/FSKD.2011.6019800</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; ARIMA model ; average diameter ; Correlation ; Current Annual Increment ; Data models ; Forestry ; Mathematical model ; Predictive models ; Sabina przewalskii Kom ; time series ; Time series analysis</subject><ispartof>2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011, Vol.3, p.1550-1554</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6019800$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6019800$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiaoli Fan</creatorcontrib><creatorcontrib>Hua Yang</creatorcontrib><creatorcontrib>Xingang Kang</creatorcontrib><creatorcontrib>Yan Gao</creatorcontrib><creatorcontrib>Qixiang Feng</creatorcontrib><creatorcontrib>Zhiwen Gong</creatorcontrib><title>Time series analysis of average current annual increase in diameter of uneven-aged stand</title><title>2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)</title><addtitle>FSKD</addtitle><description>According to Box-Jenkins principle and ARIMA model, the time series of the average diameter Current Annual Increment of Sabina przewalskii Kom Uneven-Aged Stand was fitted and predicted. A model was constructed and predicted for the sample tree data by Eviews software to select the form of the optimal model. The results showed that the AR(2) model was better fitting the series of the average Diameter Current Annual Increment R2=0.4861 and Bias was small. ARIMA model was used for short-term prediction of the series of diameter, which is very useful for prediction of the diameter growth.</description><subject>Analytical models</subject><subject>ARIMA model</subject><subject>average diameter</subject><subject>Correlation</subject><subject>Current Annual Increment</subject><subject>Data models</subject><subject>Forestry</subject><subject>Mathematical model</subject><subject>Predictive models</subject><subject>Sabina przewalskii Kom</subject><subject>time series</subject><subject>Time series analysis</subject><isbn>9781612841809</isbn><isbn>1612841805</isbn><isbn>9781612841816</isbn><isbn>1612841813</isbn><isbn>1612841791</isbn><isbn>9781612841793</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVUMFKxDAUjIigrP0A8ZIfaH2vTdPkKKur4oIHe_C2PNNXibRRknZh_96Ke3Eu84aZeYcR4gqhQAR7s3l9vitKQCw0oDUAJyKzjUGNpVG48Ok_DfZcZCl9wgKtbdWYC_HW-pFl4ug5SQo0HJJP8quXtOdIHyzdHCOHafHCTIP0wUWmxMshO08jTxx_43PgPYd8aXQyTRS6S3HW05A4O_JKtJv7dv2Yb18enta329xbmHLXo3Eda0XagSPX1zUa9Q6GLPTUGGOaji1BhZWrFdemAVTW1agVlnXvqpW4_nvrmXn3Hf1I8bA7zlH9AOzGU30</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Xiaoli Fan</creator><creator>Hua Yang</creator><creator>Xingang Kang</creator><creator>Yan Gao</creator><creator>Qixiang Feng</creator><creator>Zhiwen Gong</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201107</creationdate><title>Time series analysis of average current annual increase in diameter of uneven-aged stand</title><author>Xiaoli Fan ; Hua Yang ; Xingang Kang ; Yan Gao ; Qixiang Feng ; Zhiwen Gong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-cf18cde64a6c0cacf55184b08a90fa78887de9a0313c54e5870149c5164125fc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Analytical models</topic><topic>ARIMA model</topic><topic>average diameter</topic><topic>Correlation</topic><topic>Current Annual Increment</topic><topic>Data models</topic><topic>Forestry</topic><topic>Mathematical model</topic><topic>Predictive models</topic><topic>Sabina przewalskii Kom</topic><topic>time series</topic><topic>Time series analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiaoli Fan</creatorcontrib><creatorcontrib>Hua Yang</creatorcontrib><creatorcontrib>Xingang Kang</creatorcontrib><creatorcontrib>Yan Gao</creatorcontrib><creatorcontrib>Qixiang Feng</creatorcontrib><creatorcontrib>Zhiwen Gong</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xiaoli Fan</au><au>Hua Yang</au><au>Xingang Kang</au><au>Yan Gao</au><au>Qixiang Feng</au><au>Zhiwen Gong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Time series analysis of average current annual increase in diameter of uneven-aged stand</atitle><btitle>2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)</btitle><stitle>FSKD</stitle><date>2011-07</date><risdate>2011</risdate><volume>3</volume><spage>1550</spage><epage>1554</epage><pages>1550-1554</pages><isbn>9781612841809</isbn><isbn>1612841805</isbn><eisbn>9781612841816</eisbn><eisbn>1612841813</eisbn><eisbn>1612841791</eisbn><eisbn>9781612841793</eisbn><abstract>According to Box-Jenkins principle and ARIMA model, the time series of the average diameter Current Annual Increment of Sabina przewalskii Kom Uneven-Aged Stand was fitted and predicted. A model was constructed and predicted for the sample tree data by Eviews software to select the form of the optimal model. The results showed that the AR(2) model was better fitting the series of the average Diameter Current Annual Increment R2=0.4861 and Bias was small. ARIMA model was used for short-term prediction of the series of diameter, which is very useful for prediction of the diameter growth.</abstract><pub>IEEE</pub><doi>10.1109/FSKD.2011.6019800</doi><tpages>5</tpages></addata></record> |
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| identifier | ISBN: 9781612841809 |
| ispartof | 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011, Vol.3, p.1550-1554 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Analytical models ARIMA model average diameter Correlation Current Annual Increment Data models Forestry Mathematical model Predictive models Sabina przewalskii Kom time series Time series analysis |
| title | Time series analysis of average current annual increase in diameter of uneven-aged stand |
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