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1. Table 5.5 presents these coefficients, estimated using ordinary least squares, for exactly equivalent models to those reported in section 5.6.

2. Their job, as they perceived it, was to fill little squares with people.

3. All the shops were closed and there was a Sunday peace in the little square.

4. Divide the square into 49 little squares with a knife by marking six evenly-spaced lines vertically and six horizontally.

5. Flavia was there so early that she ran into Therese in the little square where people left their cars.

6. It stood in a little square with dying trees around it.

7. I stared at the innocent little square of foil on the counter.

8. The set came equipped with chemicals, minerals, and various treated papers all in little square bottles.

9. The least square method was used in calculating the correlations.

10. The wall was painted with little squares to give the appearance of mosaic.

11. The little square was relatively sheltered, and in the hall the gale was no more than a distant, muffled roar.

12. Algorithm gor least square fit curve.

13. Recursive least square method was used to adjust the parameters of the PID controller, which was applied in three-element control system of boiler drum level.

14. In the sense of least square error, this algorithm can determine the noise type, divide the range and estimate the intensity coefficient for every type of noise.

15. By using the least square estimation on structural breaks, we have the point estimator and interval estimator for the autoregression model of inflation rate.

16. On the data including the discrete points, least square estimation can not control the strong error affecting the regression curve.

17. With the optimization criterion of least square error between the measured creep value and theoretical creep value, microevolution algorithm inverse the creep model parameters directly.

18. The Application of least square method in chemistry data treatment is analysed through two examples.

19. The third, a weighted least square fit for the S-N curves regression is brought out, in which the weigh of a group of test data is inversely proportional to the length of the confidence interval.

20. The application of the least square polynomial fit method in the wavelength calibration of the Optical multichannel analyzer with a CCD detector is investigated.

21. The least square problem of the convolution result and real seismic data can be considered as the solution of a huge rarefactional matrix equation, which can be solved by singular value decomposition.

22. The conventional approach to such questions is to use ordinary least squares regression methods, which are often unsatisfactory.

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23. Time trends and age at diagnosis were evaluated with a linear regression model by the method of least squares.

24. The liquid emptying plots were all straight lines and were fitted to a single exponential function by an iterative least squares method.

25. A few common periods in the series of residual latitude (O-C) of four stations in China have been found by means of maximum entropy power spectrum, periodogram and least square fit methods.

26. The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.

27. Introduce a format of the statistical curve fitted by multi-dimensions least square.

28. The paper discusses two questions:one about multicollinearity, and the other about the weakness of Partial Least Square Regression.

29. Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.

30. It emphasizes the data treatment theory and method, including the probing of abnormal data and Coarse Adjustment treatment as well as the Least Square Method and Robust Estimation.