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A TIME SERIES ANALYSIS APPROACH TO T...

COOK, EDWARD ROGER,

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A TIME SERIES ANALYSIS APPROACH TO TREE RING STANDARDIZATION (DENDROCHRONOLOGY, FORESTRY, DENDROCLIMATOLOGY, AUTOREGRESSIVE PROCESS) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A TIME SERIES ANALYSIS APPROACH TO TREE RING STANDARDIZATION (DENDROCHRONOLOGY, FORESTRY, DENDROCLIMATOLOGY, AUTOREGRESSIVE PROCESS) // EDWARD ROGER COOK.
Author:	COOK, EDWARD ROGER,
Description:	1 electronic resource (183 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 46-07, Section: B.
Contained By:	Dissertations Abstracts International46-07B.
Subject:	Biostatistics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8603168
ISBN:	9798662348554

A TIME SERIES ANALYSIS APPROACH TO TREE RING STANDARDIZATION (DENDROCHRONOLOGY, FORESTRY, DENDROCLIMATOLOGY, AUTOREGRESSIVE PROCESS) /
COOK, EDWARD ROGER,

A TIME SERIES ANALYSIS APPROACH TO TREE RING STANDARDIZATION (DENDROCHRONOLOGY, FORESTRY, DENDROCLIMATOLOGY, AUTOREGRESSIVE PROCESS) /EDWARD ROGER COOK. - 1 electronic resource (183 pages)

Source: Dissertations Abstracts International, Volume: 46-07, Section: B.

The problem of standardizing closed-canopy forest ringwidth series is investigated. A biological model for the tree-ring standardization problem indicated that one class of non-climatic variance frequently responsible for standardization problems could be objectively minimized in theory. This is the variance caused by endogenous stand disturbances which create fluctuations in ringwidth series that are non-synchronous or out-of-phase when viewed across trees in a stand. A time series method based on the autoregressive process is developed which minimizes the timewise influence of endogenous disturbances in detrended ringwidth series. Signal-to-noise ratio (SNR) properties of this method are derived which indicate that autoregressive modelling and prewhitening of detrended ringwidth indices will result in a higher SNR when endogenous disturbances are present in the series. This enables the verification of the SNR theory and the error variance reduction property of the standardization method.

English

ISBN: 9798662348554Subjects--Topical Terms:

1002712
Biostatistics.

A TIME SERIES ANALYSIS APPROACH TO TREE RING STANDARDIZATION (DENDROCHRONOLOGY, FORESTRY, DENDROCLIMATOLOGY, AUTOREGRESSIVE PROCESS) /
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100 1 $a COOK, EDWARD ROGER, $e author. $3 3765909
245 1 2 $a A TIME SERIES ANALYSIS APPROACH TO TREE RING STANDARDIZATION (DENDROCHRONOLOGY, FORESTRY, DENDROCLIMATOLOGY, AUTOREGRESSIVE PROCESS) / $c EDWARD ROGER COOK.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 1985
300 $a 1 electronic resource (183 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 46-07, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
502 $b Ph.D. $c The University of Arizona $d 1985.
520 $a The problem of standardizing closed-canopy forest ringwidth series is investigated. A biological model for the tree-ring standardization problem indicated that one class of non-climatic variance frequently responsible for standardization problems could be objectively minimized in theory. This is the variance caused by endogenous stand disturbances which create fluctuations in ringwidth series that are non-synchronous or out-of-phase when viewed across trees in a stand. A time series method based on the autoregressive process is developed which minimizes the timewise influence of endogenous disturbances in detrended ringwidth series. Signal-to-noise ratio (SNR) properties of this method are derived which indicate that autoregressive modelling and prewhitening of detrended ringwidth indices will result in a higher SNR when endogenous disturbances are present in the series. This enables the verification of the SNR theory and the error variance reduction property of the standardization method.
546 $a English
590 $a School code: 0009
650 4 $a Biostatistics. $3 1002712
690 $a 0308
710 2 $a The University of Arizona. $e degree granting institution. $3 3765910
773 0 $t Dissertations Abstracts International $g 46-07B.
790 $a 0009
791 $a Ph.D.
792 $a 1985
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8603168