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Download : statistics.hwp










확률,통계,statistic,기타,레포트




설명
확률과 통계

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), , , 내려받기 : 121K


Download : statistics.hwp( 14 )


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)



확률과 통계에 관한…(drop)
순서




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
레포트/기타
statistics_hwp_01.gif statistics_hwp_02.gif statistics_hwp_03.gif statistics_hwp_04.gif statistics_hwp_05.gif statistics_hwp_06.gif

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