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Trend Monitoring with Varying Coefficient Models

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Some statistical procedures are presented for monitoring time trends. An F-statistic is given for testing the hypothesis that a particular state-space model fits two time intervals equally. This is useful when a specific time is believed to be the beginning of a structural change. The likelihood-ratio criterion can be used to test the hypothesis of no trend-change by testing that parameter values in the second interval stay constant at the end value of the first interval. When a transition time is not known in advance, cusum procedures can be employed (Brown et al. 1975, Harvey and Durbin 1986) as exploratory tools. An example application is made to some slash pine (Pinus elliottii Engelm.) tree-ring data from the southern United States that shows evidence of a 20-year recurring blight. For. Sci. 37(5):1365-1375.

Keywords: Kalman filter; structural change; tree-ring analysis

Document Type: Journal Article

Affiliations: Mathematical Statistician, USDA Forest Service, Institute for Quantitative Studies, Southern Forest Experiment Station, 701 Loyola Ave., New Orleans, LA 70113

Publication date: 1991-11-01

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  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
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