확률과 통계
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작성일 23-02-05 03:36
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확률 통계 statistic
7.continuousjoint PDF
레포트 > 자연과학계열
5. conditional functions.
6. statistical independence
확률과 통계
16. law of iterated expectations.
확률과 통계에 관한 내용임.
11. correlation coefficient
23. skew (왜도) and kurtosis (첨도)
20. population moments of sums.
19. orthogonality.(직교성)
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15. sample moments.
확률 통계 statistic / ()
26. maximum likelihood estimate.
24. other useful univariate distributions.
설명
9. expectation.
4. marginal probability density function.
1. densities and distributions.
2.probability density function of a continuous random variable.
17. relation between correlation and independence.
13. conditional expectation and conditional variance.
25. likelihood function.
27. multivariate Gaussian distribution.(다변량 가우시안 분포)
18. bias and efficiency.
14. conditional variance.
21. Cauchy-Schwarz inequality.(부등식)
10. covariance.
순서
확률 통계 statistic / ()
12. variances of correlated variable.
22. the normal distribution.
8. population moments.
3.joint probability density functions.
다.
