확률과 통계
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작성일 20-07-29 11:40
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Download : statistics.hwp
1. densities and distributions., 2.probability density function of a continuous random variable., 3.joint probability density functions., 4. marginal probability density function., 5. conditional functions., 6. statistical independence , 7.continuousjoint PDF , 8. population moments., 9. expectation., 10. covariance., 11. correlation coefficient, 12. variances of correlated variable., 13. conditional expectation and conditional variance., 14. conditional variance., 15. sample moments., 16. law of iterated expectations., 17. relation between correlation and independence., 18. bias and efficiency., 19. orthogonality.(직교성), 20. population moments of sums., 21. Cauchy-Schwarz inequality.(부등식), 22. the normal distribution., 23. skew (왜도) and kurtosis (첨도), 24. other useful univariate distributions., 25. likelihood function., 26. maximum likelihood estimate., 27. multivariate Gaussian distribution.(다변량 가우시안 분포), , , data(資料)크기 : 121K
레포트/기타
확률,통계,statistic,기타,레포트
1. densities and distributions., 2.probability density function of a continuous random variable., 3.joint probability density functions., 4. marginal probability density function., 5. conditional functions., 6. statistical independence , 7.continuousjoint PDF , 8. population moments., 9. expectation., 10. covariance., 11. correlation coefficient, 12. variances of correlated variable., 13. conditional expectation and conditional variance., 14. conditional variance., 15. sample moments., 16. law of iterated expectations., 17. relation between correlation and independence., 18. bias and efficiency., 19. orthogonality.(직교성), 20. population moments of sums., 21. Cauchy-Schwarz inequality.(부등식), 22. the normal distribution., 23. skew (왜도) and kurtosis (첨도), 24. other useful univariate distributions., 25. likelihood function., 26. maximum likelihood estimate., 27. multivariate Gaussian distribution.(다변량 가우시안 분포), , , FileSize : 121K , 확률과 통계기타레포트 , 확률 통계 statistic
확률과 통계
순서
설명
Download : statistics.hwp( 70 )
1. densities and distributions.
2.probability density function of a continuous random variable.
3.joint probability density functions.
4. marginal probability density function.
5. conditional functions.
6. statistical independence
7.continuousjoint PDF
8. population moments.
9. expectation.
10. covariance.
11. correlation coefficient
12. variances of correlated variable.
13. conditional expectation and conditional variance.
14. conditional variance.
15. sample moments.
16. law of iterated expectations.
17. relation between correlation and independence.
18. bias and efficiency.
19. orthogonality.(직교성)
20. population moments of sums.
21. Cauchy-Schwarz inequality.(부등식)
22. the normal distribution.
23. skew (왜도) and kurtosis (첨도)
24. other useful univariate distributions.
25. likelihood function.
26. maximum likelihood estimate.
27. multivariate Gaussian distribution.(다변량 가우시안 분포)
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