확률과 통계
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작성일 23-03-22 08:39
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21. Cauchy-Schwarz inequality.(부등식)
25. likelihood function.
19. orthogonality.(직교성)
설명
22. the normal distribution.
확률과 통계
3.joint probability density functions.
6. statistical independence
20. population moments of sums.
14. conditional variance.
순서
1. densities and distributions.
17. relation between correlation and independence.
7.continuousjoint PDF
8. population moments.
4. marginal probability density function.
15. sample moments.
18. bias and efficiency.
24. other useful univariate distributions.
27. multivariate Gaussian distribution.(다변량 가우시안 분포)
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확률 통계 statistic
26. maximum likelihood estimate.
16. law of iterated expectations.
10. covariance.
확률과 통계에 관한 내용임.
확률 통계 statistic / ()
2.probability density function of a continuous random variable.
11. correlation coefficient
5. conditional functions.
12. variances of correlated variable.
확률 통계 statistic / ()
9. expectation.
13. conditional expectation and conditional variance.
레포트 > 자연과학계열
23. skew (왜도) and kurtosis (첨도)
다.
