D-optimal design - what it is and when to use it

D-optimal designs are used in screening and optimization, as soon as the researcher needs to create a non-standard design. A D-optimal design is a computer generated design, which consists of the best subset of experiments selected from a candidate set. The candidate set is the pool of theoretically possible and practically conceivable experiments.

[@TheFilipeamaral]

Perfect explain! Finally I’ve understand it completely! Thanks!

[@punksnotdead4766]

Great explanation. Thanks for posting

[@youvev54]

Nice presentation, thanks!

[@paolo7206]

Very good video series

[@cleitonjardeweski9593]

Very good!!!

[@neilbryanclosa462]

Well explained.

[@mugenyiderrick7910]

Can you please give me any reference for A-optimal designs.

[@wahabfiles6260]

is X variance covariance matrix or XX' variance covariance matrix at 10:04?

[@pockeystar]

X’X is the variance covariance matrix.