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Introduction of a Nonlinear Regression Analysis System NLIN2000

비선형회귀분석을 위한 통계소프트웨어 NLIN2000

  • 강근석 (숭실대학교 자연과학대학 정보통계학과) ;
  • 심규호 (에스링크㈜)
  • Published : 2004.03.01

Abstract

A statistical software for nonlinear regression analysis, NLIN2000, is introduced. This software, operated tinder the Window systems, has many user-friendly functions and Provides various statistics. As an upgraded version of the Previous Program operated under the DOS system, NLIN2000 provides easier steps for model specification and fitting process than any other statistical packages. Also it has a database system for model functions which has addition and deletion options. While it can be a useful research tool for statisticians, NLIN2000 can be used practically also by researchers in many other scientific fields, who needs nonlinear regression analysis for their study.

Window환경 하에서 사용이 간편하면서도 다양한 통계량을 제공하는 비선형회귀분석을 위 한 통계소프트웨어 NLIN2000을 소개한다. 기존의 DOS용 프로그램을 업그레이드한 것으로 다른 통계 팩키지들에 비하여 모형식의 설정 및 적합과정이 간편하고, 모형식 저장 및 삭제, 모형식 형태 보기 등의 기능을 제공한다. NLIN2000은 비선형회귀분석에 대한 통계적 이론을 연구하는 통계전공자들에게 필수적인 각종 통계량을 제공해줄 뿐만 아니라, 실제 현장에서 비선형모형을 사용하여 분석하는 다른 학문분야의 연구자들에게도 유용하게 사용될 수 있다.

Keywords

References

  1. 응용통계연구 v.6 no.1 비선형 회귀분석을 위한 소프트웨어 NLIN90의 소개 강근석
  2. Journal of the Royal Statistical Society, Ser. B v.42 Relative Curvature Measures of Nonlinearity(with discussion) Bates, D. M.;Watts, D. G.
  3. Technometrics v.23 A Relative Offset Orthogonality Convergence Criterion for Nonlinear Least Squares Bates, D. M.;Watts, D. G. https://doi.org/10.2307/1268035
  4. Nonlinear Regression Analysis and its Application Bates, D. M.;Watts, D. G.
  5. Computational Statistics and Data Analysis v.18 nls2. nonlinear regression by s-plus functions Bouvier, A.;Huet, S. https://doi.org/10.1016/0167-9473(94)90138-4
  6. Journal of the Royal Statistical Society, Ser. B v.33 Bias in nonlinear estimation(with discussion) Box, M. J.
  7. Journal of the American Statistical Association v.82 Marginal Curvatures and Their Usefulness in the Analysis of Nonlinear Regression Models Clarke, G. P. Y. https://doi.org/10.2307/2288795
  8. Residuals and Influence in Regression Cook, R. D.;Weisberg, S.
  9. Journal of the American Statistical Association v.85 Confidence Curves on Nonlinear Regression Cook, R. D.;Weisberg, S. https://doi.org/10.2307/2289796
  10. Linpack User's Guide Dongarra, J. J.;Bunch, J. R.;Moler, C. B.;Stewart, G. W.
  11. Nonlinear Statistical Models Gallant, A. R.
  12. Journal of the Royal Statistical Society, Ser. B v.47 The appropriateness of the asymptotic distribution in a nonlinear regression model in relation to curvature Hougaard, P.
  13. Journal of the Korean Statistical Society v.32 Confidence Curves for a Function of Parameters in Nonlinear Regression Kahug, Myung-Wook
  14. Statistica Sinica v.8 Marginal Curvature for Functions of Parameters in Nonlinear Regression Kang, G.;Rawlings, J.
  15. Nonlinear Regression Modelling:A Unified Practical Approach Ratkowsky, D. A.
  16. Handbook of Nonlinear Regression Models Ratkowsky, D. A.
  17. Nonlinear Regression Seber, G.;Wild, C.