Search algorithms for computing stock composition of a mixture from traits of individuals by maximum likelihood / by J. Pella, M. Masuda, and S. Nelson
by J. Pella
Part of NOAA technical memorandum NMFS-AFSC -- 61.
No club is reading this yet — be the first to start one
Discuss Search algorithms for computing stock composition of a mixture from traits of individuals by maximum likelihood / by J. Pella, M. Masuda, and S. Nelson with other readers
Join or start a book club for Search algorithms for computing stock composition of a mixture from traits of individuals by maximum likelihood / by J. Pella, M. Masuda, and S. Nelson on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.
Frequently asked questions
How do I join a book club for Search algorithms for computing stock composition of a mixture from traits of individuals by maximum likelihood / by J. Pella, M. Masuda, and S. Nelson?
Sign up free on Readfeed, then browse public clubs or start your own club with Search algorithms for computing stock composition of a mixture from traits of individuals by maximum likelihood / by J. Pella, M. Masuda, and S. Nelson as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.
Can I discuss Search algorithms for computing stock composition of a mixture from traits of individuals by maximum likelihood / by J. Pella, M. Masuda, and S. Nelson with other readers online?
Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Search algorithms for computing stock composition of a mixture from traits of individuals by maximum likelihood / by J. Pella, M. Masuda, and S. Nelson with readers worldwide — whether your club is virtual, in-person, or hybrid.
Is Readfeed free?
Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.