- #1
rof
- 4
- 0
hello guys,
i have a question and looking for an answer quickly...
question;
prove that,
Z is a vector.thank you.
i have a question and looking for an answer quickly...
question;
prove that,
Z is a vector.thank you.
rof said:hello guys,
i have a question and looking for an answer quickly...
question;
prove that,
Z is a vector.thank you.
rof said:this is the full question paper. (if that helps you to understand the nature of the question)
the answer i want is to question number 5.http://i.imgur.com/l2CpJz3.jpgthank you
MarkFL said:That link is broken...and rather than using a free online image hosting service (many of which don't work well), it is better to attach images inline so that everyone can see them and they are not subject to the image hosting service taking them down.
rof said:i corrected it by editing the post as soon as i posted it, but somehow editing didnt happen.
here is the link;
http://i.imgur.com/QnBxP5g.jpg
5th question
rof said:this is the full question paper. (if that helps you to understand the nature of the question)
the answer i want is to question number 5.
thank you
A multivariate normal distribution is a probability distribution that describes the behavior of a set of multiple random variables that are normally distributed. It is characterized by its mean vector, which represents the average value of each variable, and its covariance matrix, which describes the relationship between each variable.
The properties of a multivariate normal distribution include:
A univariate normal distribution describes the behavior of a single random variable, while a multivariate normal distribution describes the behavior of a set of multiple random variables. In a univariate normal distribution, there is only one mean and one variance, while in a multivariate normal distribution, there is a mean vector and a covariance matrix.
Multivariate normal distributions are commonly used in statistical analysis and modeling in various fields, including finance, economics, psychology, and biology. They are particularly useful for analyzing data sets with multiple variables, such as stock prices, consumer behaviors, and brain activity.
There are several statistical tests that can be used to determine if a data set follows a multivariate normal distribution, such as the Shapiro-Wilk test or the Kolmogorov-Smirnov test. Additionally, visual inspection of the data using histograms or Q-Q plots can also provide insight into the distribution of the data. It is important to note that these tests are not definitive and should be used in conjunction with other analyses to make a determination.