Q: Where can one find information on the covariance matrix?

Write your answer...

Submit

Still have questions?

Continue Learning about Math & Arithmetic

Nothing particular if all the 1s are in the first column, for example. You could have an echelon matrix, but with the information given, it is hard to tell.

Yes.

I assume you mean covariance matrix and I assume that you are familiar with the definition:C = E[(X-u)(X-u)T]where X is a random vector and u = E(X) is the meanThe definition of non-negative definite is:xTCx â‰¥ 0 for any vector x Ð„ RSo is xTE[(X-u)(X-u)T]x â‰¥ 0?Then, from one of the covariance properties:E[(xT(X-u))((X-u)Tx)] = E[xT([(X-u)(X-u)T]x)] = E[((xTI)x)] = E[xTx]Finally, since we've already defined x to have only real values, xTx is therefore non-negative definite by definition.

Next to your 4x4 matrix, place the 4x4 identity matrix on the right and adjoined to the one you want to invert. Now you can use row operations and change your original matrix on the left to a 4x4 identity matrix. Each time you do a row operation, make sure you do the same thing to the rows of the original identity matrix. You end up with the identity now on the left and the inverse on the right. You can also calculate the inverse using the adjoint. The adjoint matrix is computed by taking the transpose of a matrix where each element is cofactor of the corresponding element in the original matrix. You find the cofactor t of the matrix created by taking the original matrix and removing the row and column for the element you are calculating the cofactor of. The signs of the cofactors alternate, just as when computing the determinant

A matrix that have one or more elements with value zero.

Related questions

Full information maximum likelihood is a statistical method used to estimate parameters in a model by maximizing the joint likelihood of all observed data points. It utilizes all available information in the dataset to obtain more precise parameter estimates compared to other estimation methods. This approach is especially useful when dealing with complex models and relatively small sample sizes.

Here is the list of top three matrix mlm software blog where you can find lot of useful information about mlm software and other mlm related stuffs ajmatrix.com/blogs blog.infinitemlmsoftware.com blog.awapal.com Hope you find this useful...

There are many advantages and disadvantages of having and making a matrix. One advantage is the layout of the information.

You basically write a nested for loop (one for within another one), to copy the elements of the matrix to a new matrix.

One can find information about understanding B2C marketing from websites, such as About's marketing page, Vantage Global, and Customer Experience Matrix on BlogSpot's website.

The best place to find a review on a Toyota Matrix would be from Toyota. You could also search the computer for a review on the new Toyota Matrix. You could also ask friends.

There are many companies and websites that offer The Matrix screensavers. Some of these companies that offer the screensavers are CNET Downloads and Kelly Software.

There are many places online where one can buy a copy of The Matrix on DVD. Some of these include Amazon and eBay. One can also find it for sale on the WalMart website.

Nothing particular if all the 1s are in the first column, for example. You could have an echelon matrix, but with the information given, it is hard to tell.

One can find information on Kumuka Worldwide on the official Kumuka website. There one can find information and contact details for the company. One can also find information on their Facebook page.

One can find more information about culling on Wikipedia where they have much information on the procedure and how it is implemented. One can also find information on 'HowStuffWorks'.

One can find information about Madden in a variety of places. For example, one can find information about Madden from its official Wikipedia entry. One can also find information about Madden from the EA SPORTS website.