Random good picture Not show

1. Results were corroborated by non-parametric tests.

2. Correlation coefficients were calculated using the Spearman's non-parametric coefficient.

3. Statistical analysis of the data was performed using the Mann-Whitney U test for non-parametric data and Spearman's rank order correlation.

4. There are reservations as to its validity because of the small samples and the non-parametric nature of some of the variables.

5. Variables with normal distribution and homogeneous variance were compared by means of parametric tests, otherwise their non-parametric counterparts were used.

6. A novel nonparametric classifier called NNL classifier is introduced to detect double - talk.

7. Using the method of nonparametric statistics , the productivity and the stability of 9 peanut cultivars are studied .

8. Nonparametric one - way ANOVA was conducted on ranks 2 to test for differences among groups.

9. Through the use of linear model and nonparametric regression model, the trend of the total foreign exchange reserve account for the proportion of GDP is fitted.

10. The nonparametric method and semi - parametric method were focused in nonlinear time series analysis.

11. In this paper , we present a nonparametric approach for checking the residuals of time series models.

12. The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.

13. We analyze the data using nonparametric tests and regression analysis.

14. The nonparametric test are not as efficient or'sharp " as parametric test.

15. To approximate the required counterbalancing torque curves, nonparametric rational B- splines have been applied to synthesize the planar cam motion programs.

16. In this paper, we study the nonparametric statistical inference for one distribution change point.

17. One of the easiest nonparametric tests to use is the sign test.

17. Sentencedict.com try its best to collect and make good sentences.

18. We use nonparametric tests, we lose sharpness in estimating intervals.

19. Nonparametric regression models, developed in recent years, have extensive applied backgrounds in many areas.

20. The conditional density and the conditional mean are estimated by nonparametric method. Then the estimator of the parameter is proposed by the generalized method of moments.

21. These techniques are known as distribution - free or, more commonly, nonparametric tests.

22. Prerequisite: STAT 250. Emphasis on applications. Topics include analysis of variance, multiple regression, and nonparametric inference. A statistical computer package is used for data analysis.

23. The main statistical methods were analysis of variance (ANOV A), multiple comparison, nonparametric test, t-test, linear regression and correlation and X2 test.

24. The innovation of this paper is fitting yield to maturity data by nonparametric smoothing method to achieve good results when we don't know much about the regression function.

25. In this paper, we discuss the estimate of regression function in nonparametric regression model based on exponential integral martingale difference.

26. Aimed at developing ITS and ATIS, both a nonlinear and a nonparametric statis tical method of change-point to analyze traffic flow breakdown is established in this paper.

27. In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.

28. A sequential algorithm for linear feedback system identification via block-pulse functions is developed. The linear system is described by a nonparametric model, impulse-response function.

29. A method for signal waveform extraction is proposed, which is based on nonparametric waveform atom.

30. The theory of weighted empirical processes is an important element for(generalized) nonparametric likelihood ratio goodness of fit test.