Bayesian Models for PCR Stutter
2017 doctoral thesis by Madappuli Arachchige Fernando at University of Auckland
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Bayesian Models for PCR Stutter
Summary
Bayesian Models for PCR Stutter is a doctoral thesis[1].
Key Facts
- Bayesian Models for PCR Stutter's instance of is recorded as doctoral thesis[2].
- Bayesian Models for PCR Stutter was published by ResearchSpace@Auckland[3].
- Bayesian Models for PCR Stutter's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[4].
- Bayesian Models for PCR Stutter's country of origin is recorded as New Zealand[5].
- Bayesian Models for PCR Stutter was released on 2017[6].
- Bayesian Models for PCR Stutter's main subject is statistics[7].
- Bayesian Models for PCR Stutter's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/34557[8].
- Bayesian Models for PCR Stutter's title is recorded as Bayesian Models for PCR Stutter[9].
- Bayesian Models for PCR Stutter's author name string is recorded as Madappuli Arachchige Fernando[10].
- Bayesian Models for PCR Stutter's thesis submitted to is recorded as University of Auckland[11].
- Bayesian Models for PCR Stutter's on focus list of Wikimedia project is recorded as NZThesisProject[12].
- Bayesian Models for PCR Stutter's copyright status is recorded as copyrighted[13].
- Bayesian Models for PCR Stutter's online access status is recorded as open access[14].
- Bayesian Models for PCR Stutter's thesis committee member is recorded as James M Curran[15].
- Bayesian Models for PCR Stutter's thesis committee member is recorded as Renate Meyer[16].
- Bayesian Models for PCR Stutter's thesis submitted for degree is recorded as Doctor of Philosophy[17].
Body
Designation and Status
Bayesian Models for PCR Stutter's instance of is recorded as doctoral thesis[2].