Innovative stock assessment methods and management solutions for spatially structured fish populations / by Yang Li.

Bibliographic Details
Main Author:	Li, Yang (Statistician) (Author)
Corporate Author:	Michigan State University (Degree granting institution)
Other Authors:	Bence, James R. (Degree supervisor)
Language:	English
Published:	2018.
Subjects:	Fish populations. Fish stock assessment. Home range (Animal geography) Fishery management. Fishes > Homing. Lake whitefish > Huron, Lake (Mich. and Ont.) Bayesian statistical decision theory. Electronic dissertations. Academic theses. Lake whitefish. Lake Huron.
Genre:	Electronic dissertations. Academic theses.
Online Access:	Connect to online resource - MSU authorized users Connect to online resource - All users (Digital Object Identifier Permalink)
Dissertation Note:	Thesis Ph. D. Michigan State University. Fisheries and Wildlife 2018
Physical Description:	1 online resource (xix, 263 pages) : illustrations
Format:	Thesis Electronic eBook

Description
Note:	Electronic resource. "The chapters in this dissertation were drafted as stand-alone papers"--preface.
Call Number:	MSU ONLINE THESIS
Bibliography Note:	Includes bibliographical references.
ISBN:	9780438268999 0438268997
DOI:	doi:10.25335/M5P26Q76Z
Source of Description:	Online resource; title from PDF title page (Proquest, viewed on March 26, 2019).