Similar words: ovarian cyst, variance, at variance, invariance, at variance with, ovarian, analysis of variance, ovarian artery. Meaning: n. (statistics) the mean value of the product of the deviations of two variates from their respective means.
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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,(sentencedict.com) 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.
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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.
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