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수확예측 Model 의 Multicollinearity 문제점 해결을 위한 Ridge Regression 의 이용
신만용 한국임학회 1990 한국산림과학회지 Vol.79 No.3
Two types of ridge regression estimators were compared with the ordinary least squares (OLS) estimator in order to select the $quot;best$quot; estimator when multicollinearitc existed. The ridge estimators were Mallows's (1973) C_P-like statistic, and Allen's (1974) PRESS-like statistic. The evaluation eras conducted based on the predictive ability of a yield model developed by Matney et al. (1988). A total of 522 plots from the data of the Southwide Leblolly Pine Seed Source study v as used in this study All of ridge estimators were better in predictive ability than tire OLS estimator. the ridge estimator obtained by using Mallows's statistic performed the best. Thus, ridge estimators can be recommended as an alternative estimator when multicollinearity exists among independent variables.
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신만용,김영환,유기준 한국임학회 1998 한국산림과학회지 Vol.87 No.3
The objective of this study was to present the proper criteria which could be efficiently used for dividing the land-use zones in Korean national parks. Delphi technique was employed to collect data for this study. The Delphi process was designed with 3 round questionaries for Korean panel experts. A list of 30 criteria was obtained to be considered in dividing land-use zones. From the results, the biological category, in which 10 criteria were involved, occupied the most part of them. This means that the panels consider the biological criteria to be the most important ones under the serious situation of environmental deterioration. Using the 30 criteria emerged from this study, it could be possible to analyze the fitness of the existing land-use zoning system. Prior to the application of these criteria to each park, however, the areal characteristics should be surveyed to select the proper criteria. The new zoning system based on the regional characteristics of each park could be efficiently utilized for management of Korean national parks.
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