Multivariate Statistical Analysis－Multivariate Normal Distribution

Date Issued
2006
Date
2006
Author(s)
DOI
246246/2006092815540162
URI
Abstract
When a distribution such as the multivariate normal is assumed to hold for a population, estimates of the parameters are often found by the method of maximum likelihood The observation vectors X1,X2,…..,Xn are considered to be known and value of and are sought that maximize the joint density of the X’s, called the likelihood function
Publisher
臺北市:國立臺灣大學農藝學系
Type
learning object
File(s)
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Name

multivariate normal distribution.ppt

Size

222 KB

Format

Microsoft Powerpoint

Checksum

(MD5):7fc04eb32d510a0a3eb29546f6cf80d9

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