1. The covariance between the returns of two different securities may be estimated in a similar manner:.

2. The data on covariance presently available are here.

3. The covariance should be comprehended and followed dialectically.

4. Returns the covariance of two series evaluated over a set, using the biased population formula.

5. Method: Dummy variable is used for analysis of covariance and analysis of variance.

6. It is emphasis on contravariance rule, covariance rule and closed-behavior rule that generic-special relation must abide in this paper.

7. The results of the covariance analysis indicate that the integrating system can provide higher navigation accuracy and is worthful in wide application.

8. Analysis of covariance is a combination of regression analysis and variance analysis.

9. By analysis of covariance the differences of MDI and PDI between the two groups were compared.

10. It's appropriate to use Covariance Structure Model in the sociological research.

11. The observations included the micrometeorology, radiation(), eddy covariance observation systems and soil water content profiles.

12. The eigenvalue of covariance matrix can be used to separate signal from noise.

13. Analysis of Covariance and Man-Whitney U test are used to analyze the medical cost for the acute appendicitis patients with and without medical insurance.

14. The COVAR() function calculates the covariance of two cell ranges.

15. Some of the math is quite sophisticated, using differential equations, linear algebra, and covariance matrices.

16. This paper points out that we can use the density function of the Gaussian distribution to set a thinned array, extending the covariance matrix will advance the gain clearly.

17. The methods of sign test and runs number test of negligence error and adjustment of experimental covariance matrix are given in the work.

18. A novel DOA estimation algorithm based on the largest eigenvalue of the covariance matrix is presented. It mainly applies to the pencil beam smart antenna in DS CDMA systems.

19. We analyses the different result of PCA by using autocorrelation matrix and covariance matrix, and point out that the express of PCA is different but the error are the same.

19. is a sentence dictionary, on which you can find excellent sentences for a large number of words.

20. Covariance velocity spectrum is based on the fact that the sampled data can be arranged in eigen structure of covariance matrix.

21. Conclusion: It is easy to understand the analysis of covariance and analysis of variance can also be considered in regression analysis setting by defining appropriate dummy variables.

22. To preserve the polarimetric properties of polarimetric SAR image, each element of the covariance matrix should be filtered independently in the same homogenous area.

23. There are two forms of extended sequential estimation algorithm:1. integrating error covariance matrix; 2. integrating state transition matrix.

24. In view of the heavier calculation burden and worse real-time of asynchronous fusion center, a multi-sensor asynchronous data fusion algorithm based on estimate covariance control was proposed.

25. To a large extent , the form of this background error covariance governs the resulting objective analysis.

26. How to eliminate the influence of these uncontrollable fac tors and enable us to make correct comment on various solutions is the problem we need to solve in analysis of covariance.

27. Statistical analysis of endometrial thickness data was performed by analysis of covariance method, with baseline endometrial thickness as the covariate.

28. The data was analyzed by chi - square, stepwise regression analysis and covariance statistics.

29. The property of estimation is better than that of the method based on the eigen structure decomposition of a covariance matrix.

30. Then it can establish the estimators of means and covariance matrix of the multivariate normal distribution, and estimate their confidence limits and intervals in each state.

31. In this study, covariance and multiple correlation analysis were used to study the relationships between type traits and functional herd life(FHL) of Holsteins.

32. Statistical analysis included descriptive statistics, t-test, Chi-square test, paired t-test, Wilcoxon Signed Ranks test, analysis of covariance.

33. A spectral estimator based on the rank-deficient sample covariance matrix was developed to improve the robustness of estimates of the rank-deficient robust Capon filter-bank (RCF) spectral estimator.

34. Methods Scale was used to assess the QOL of children, body mass index (BMI) was used to classify the children. Analysis of covariance was used to compare the QOL among different groups.

35. Analysis of covariance was used to test differences in mean BMDs across genotypes.

36. In the beginning, we construct a time - frequency covariance matrix using original feature extracted from each frame.

37. For estimating the model parameters, the method, in which error covariance matrix P(K) is recursively factorized with U-D factorization technique on the basis of RCKE algorithm, is adopted.

38. For this special multisensor system, distributed optimal fusion algorithm is received by avoiding computing correlated estimation covariance based on the matrix operation.

39. Results show that the Copula based method produces better backtest results than the traditional variance - covariance method.

40. In contrast with the prediction coefficients error of self-correlative method and instability of covariance method, this algorithm improves the short-time average precision observably.

41. With covariance matching technique and innovation information of filtering, the noise variance is dynamically adjusted and the mean square error of the fusion system always keeps minimum.

42. Results:A general framework of the model is established. The property of covariance density and the goodness of fit test are given.

43. POOLVD pooledvariance - covariance matrix from two or more data matrices. Dan also perform a test for homogeneity.

44. Those little minus and addition signs are used to denote contravariance and covariance, respectively.

45. Correlated algorithms of covariance matrix were researched and analysed. Thoroughly studying was given to the physical meaning of covariance matrix.

46. In the multi-variable system, there generally exist errors in the determination of independent variable number based on covariance matrix eigenvalues because of the nonuniformity in data space.

47. By averaging the previous results, a new covariance matrix is obtained. It is a full rank matrix.

48. A full introduction to covariance and contravariance would take too long.

49. Covariance enables you to use a more derived type than that specified by the generic parameter.

49. try its best to gather and create good sentences.

50. In the beginning, we construct a time-frequency covariance matrix using the original feature extracted from each frame.

51. When the blood lead level was adjusted by covariance analysis, reactive time in choice reaction test of the ALAD1-2 genotype was closed to that of ALAD1-1 homozygote.

52. Note that although the above examples show how to declare covariance and contravariance for delegate types, it's not different to do so with interfaces.

53. By using the arrays normalized general impedance matrix to express the mutual coupling between the elements, the characteristics of the covariance matrix of the adaptive arrays are analyzed.

54. We can get the ellipticity and linearity from the eigenvalues of the covariance matrix.

55. In this paper, we discover that the scale parameter of a gamma distribution is exactly equal to the covariance of the r. v. and its logarithm.

56. Returns the covariance of two series evaluated over a set ( biased ).

57. A low-complexity adaptive quadrature amplitude modulation(QAM) scheme was presented to increase throughput for multi-antenna communication system with covariance feedback.

58. Objective To study the effect of covariate imbalance on analysis of covariance.

59. In the process of Kalmsn filtering, our algorithm uses the sequential process and the U-D covariance factorization technique to improve the computing speed and numeric stability of filtering.

60. Covariance and contravariance in generic type parameters are supported for reference types, but they are not supported for value types.

61. One-Way Analysis of Covariance were applied to analyze the collected data.

62. Covariance matrix can get bands with ample information content but it is a model educed under normal distribution condition, in addition its defect is large numbers of data, slower disposing speed.

63. The data were analyzed with the analysis of covariance, multivariate linear stepwise regression.

64. Variance component model of the random effects of covariance matrix unit for the "Linear model introduction" matrix has been studied.

65. In this paper, by using the special structure of the covariance matrix, a fast high resolution method based on QR decomposition is presented.

66. Group as independent variable , tests before experiment as covariates and tests after experiment as dependent variables for analysis of covariance .

67. Statistical linearization and mathematical inductive methods are used to obtain a recursive relation for evaluating the variance and covariance of displacement and velocity.

68. Further using Covariance Structure Model ( CSM ), we make an empirical analysis of these factors.

69. In linear modelling (analysis of covariance), the UCS of favourable soils is a function of variation in soil properties but not of variation in the quantity of cement or lime used.

70. Covariance analysis with forward stepwise variable selection was carried out.

71. The state vectors expectation, variance and covariance matrices are given under the conditions of the systems with regular infinite extreme point and singular infinite extreme point.

72. In addition, this study was analyzed by descriptive statistic, t-test and analysis of covariance.

73. Results of linear structural relation model based on covariance matrix showed that psychological factors affected the development of NIDDM not only directly but also indirectly.

74. The ranks and natural logarithms of determinants printed are those of the group covariance matrices.

75. A new method for human face image scale and direction estimation is proposed using covariance matrix eigenvalue and eigenvector of edge set, which is proved by theory and experiments.

76. Meanwhile, a recursive algorithm for computing the sample mean and covariance matrix with forgetting factors was also given to overcome the difficulties of storing the vast old training samples.

77. The design problem of PID regulator under the sector region poles and steady-state output covariance constraints is studied by employing the satisfactory control.

78. Covariance Analysis Describing function Technique (CADET) algorithm was used to analyze the precision of missiles remote control process.

79. Subjects were 84 middle school students in grade 2. By analysis of covariance of single factor to investigate the effect of the teacher-expectancy on the self-worth sense and the motivational belief.

79. is a sentence dictionary, on which you can find nice sentences for a large number of words.

80. For the estimation of satellite state, the extended sequential estimation algorithm was applied. The numerical method was used to integrate state vector and error covariance matrix.

81. The estimation of noise covariance matrix is based on iterative procedure in ML.

82. This method can control the series correlation via covariance matrix that was formed from correlation series and is suit for simulating finite correlated random series of different distributions.

83. Covariance analysis was used to analyze herbicide efficacy data from rapeseed experiments.

84. For comparing postoperative mean scores or mean score improvements measured in continuous scales, such as NDI scores, analysis of covariance was used with the preoperative score as the covariate.

85. Based on the high-frequency data, the realized volatility and realized covariance matrix was introduced systematically.

86. A unified Variance components estimation in the Gauss-Markov model with a singular covariance matrix of observations and singular design matrix is discussed in this paper.

87. The results were compared and analyzed with the t test and analysis of covariance between the two groups.

88. The data was analyzed with one - way analysis of covariance ( ANCOVA ) and two - way analysis of variance ( ANOVA ).

89. Compared with the traditional method, it does not need disassembling the power spectral densities of stochastic signal covariance and is not bound to if the power spectral densities are rational.

90. Bayes classification 1) three types of covariance not equal 2) three equal covariance () 3) programming line on the machine to draw three categories (or sub-interface).

91. Covariance and contravariance also supported for non - generic delegates for matching method signatures with delegate types.

92. By analysis of covariance we compared the difference of MDI and PDI between the two groups.

93. Returns the covariance of two series evaluated over a set, using the unbiased population formula.

94. Second, normals and curvatures of vertices in the optimal neighborhood are estimated by covariance matrix analysis.

95. A real - time estimation of a prior variance - covariance for GPS observations is suggested in this paper.

96. Finally to calculate the yield of the risky assets and the underwriting yield covariance, and to calculated effective portfolio will via inputting variable data into the insurance portfolio model.

97. The theoretical foundation of the covariance is pertinence of system theory.

98. Finally, the optimum weighting factor of each trace is determined with the signal amplitudes and noise covariance.

99. Realized covariance matrix is a new measurement of the volatility and correlation of portfolio.