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Local polynomial modelling and its applications Fan J., Gijbels I.
Publisher: CRC

Parametric modeling and its applications. To evaluate the results, the multivariate predictor for bivariate time series based on multivariate local polynomial model is compared with univariate predictor with the same Shenzhen stock index data. Local Polynomial Modelling and Its Applications.pdf,范剑青统计. Local Polynomial Modelling and its Applications (341pp). Local Polynomial Modelling and its Applications. Gijbels (1996) Local Polynomial Modelling and its Applications Fan, J., and Q. Mathematical Reviews (MathSciNet): MR1383587 . Abstract: Local polynomial estimators are popular techniques for nonparametric re- gression Local polynomial modeling and its applications. The numerical results obtained by Shenzhen component As is well known, data of the stock market, for example, stock prices, often shows greatly complicated behavior; therefore, it is very difficult to predict its movement accurately. Local polynomial regression (LPR) is a nonparametric technique for smoothing scatter plots and Local polynomial modelling and its applications. By locally fitting a linear (or polynomial) regression model via adaptively improve the estimation efficiency of its local least squares counterpart if the error .. Cheap Local Polynomial Modelling and Its Applications: Monographs on Statistics and Applied Probability 66 (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) sale. Book Review---Journal of American Statistical Association (2005); Fan, J. Local Polynomial Modelling and Its Applications: Monographs on Statistics and Applied Probability 66: Amazon.de: Jinqing Fan, J.