확률과 통계
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작성일 23-02-04 05:00
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24. other useful univariate distributions.
확률과 통계에 관한 내용임.
3.joint probability density functions.
19. orthogonality.(직교성)
14. conditional variance.
18. bias and efficiency.
26. maximum likelihood estimate.
20. population moments of sums.
17. relation between correlation and independence.
4. marginal probability density function.
16. law of iterated expectations.
10. covariance.
1. densities and distributions.
21. Cauchy-Schwarz inequality.(부등식)
8. population moments.
순서
9. expectation.
확률 통계 statistic / ()
7.continuousjoint PDF
15. sample moments.
설명
확률 통계 statistic / ()
확률과 통계
6. statistical independence
25. likelihood function.
5. conditional functions.
확률 통계 statistic
23. skew (왜도) and kurtosis (첨도)
22. the normal distribution.
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11. correlation coefficient
13. conditional expectation and conditional variance.
27. multivariate Gaussian distribution.(다변량 가우시안 분포)
12. variances of correlated variable.
2.probability density function of a continuous random variable.
레포트 > 자연과학계열
다.
