Using Bayesian growth models to predict grape yield

Summary

Using Bayesian growth models to predict grape yield is a doctoral thesis^[1].

Key Facts

• Using Bayesian growth models to predict grape yield's instance of is recorded as doctoral thesis^[2].
• Using Bayesian growth models to predict grape yield was published by UC Research Repository^[3].
• Using Bayesian growth models to predict grape yield's language of work or name is recorded as English^[4].
• Using Bayesian growth models to predict grape yield's country of origin is recorded as New Zealand^[5].
• Using Bayesian growth models to predict grape yield was published on 2021^[6].
• Using Bayesian growth models to predict grape yield's work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/102485^[7].
• Using Bayesian growth models to predict grape yield's title is recorded as Using Bayesian growth models to predict grape yield^[8].
• Using Bayesian growth models to predict grape yield's author name string is recorded as Rory Ellis^[9].
• Using Bayesian growth models to predict grape yield's thesis submitted to is recorded as University of Canterbury^[10].
• Using Bayesian growth models to predict grape yield's on focus list of Wikimedia project is recorded as NZThesisProject^[11].
• Using Bayesian growth models to predict grape yield's copyright status is recorded as copyrighted^[12].
• Using Bayesian growth models to predict grape yield's online access status is recorded as open access^[13].
• Using Bayesian growth models to predict grape yield's thesis committee member is recorded as Daniel Gerhard^[14].
• Using Bayesian growth models to predict grape yield's thesis submitted for degree is recorded as Doctor of Philosophy^[15].

Body

Designation and Status

Using Bayesian growth models to predict grape yield's instance of is recorded as doctoral thesis^[2].