ライフサイエンスコーパス: least-squares method

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1 ng and within families, are estimated by the least-squares method.

2 three structural elements are computed by a least-squares method.

3 els whose parameters are estimated using the least-squares method.

4 o the preprocessing and modified alternating least-squares methods.

5 The algorithm is based on the Kabsch least-squares method and determines an optimal transform

6 ix formulation proves the equivalence of the least-squares method and the integral curve-fitting.

7 strong connections with popular regularized least-squares methods, and the use of such numerical rec

8 by neighbor joining, minimum evolution, and least-squares method are available, but the methods for

9 Inverse least-squares methods are used to develop models that co

10 the existing regression method, the weighted least squares method can be useful in QTL mapping in con

11 associated variables, are developed using a least-squares method combined with a numerical different

12 atrix-based approach employing a constrained least-squares method followed by nonlinear optimization.

13 oblems, a fast and computationally efficient least-squares method for estimating population parameter

14 neation on images reconstructed by using the least-squares method for motion detection with navigator

15 w QSRR model based on a Kernel-based partial least-squares method for predicting UPLC retention times

16 accurate than those obtained by the ordinary least squares method in predicting future MD (MSE: 5.13

17 analysis of the unfolded spectra by partial least squares methods (PLS1 and PLS2) revealed quantitat

18 genetically desirable property that weighted least-squares methods should satisfy, and provide a comp

19 The use of the least squares method to calculate the best-fitting line

20 e regression was performed using the partial least squares method to quantify the starch in the sprea

21 tly admixed population and use a generalized least-squares method to fit the model to two different d

22 nm were spectrally unmixed by using a linear least-squares method to obtain sPA images.

23 fitted to a two-state model by a non-linear, least-squares method to obtain the transition temperatur

24 In a prospective analysis, the linear least-squares method was used to evaluate the time cours

25 action fields together with a simple partial least-squares method were found to be adequate to descri

26 uctural parameters are optimized by weighted least-squares methods when the model scattering intensit

27 ost commonly used algorithm is the classical least squares method, which is popular due to its speed

28 We compare the novel algorithm to the least squares method with a low-order polynomial residua

29 5 A resolution by full matrix block diagonal least-squares methods with anisotropic temperature facto

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