Fitting length-weight relationships with linear regression using the log-transformed allometric model with bias-correction

Brodziak, Jon K. T. (Jon Kenton Tarsus)

i

Fitting length-weight relationships with linear regression using the log-transformed allometric model with bias-correction

2012
By Brodziak, Jon K. T. (Jon Kenton Tarsus)
Series: Pacific Islands Fisheries Science Center administrative Report H 12-03

Details

Personal Author:

Brodziak, Jon K. T. (Jon Kenton Tarsus)
Corporate Authors:

Pacific Islands Fisheries Science Center (U.S.)
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; PIFSC (Pacific Islands Fisheries Science Center)
Description:

"The purpose of this report is to provide the information needed to calculate unbiased estimates of the parameters of a length-weight relationship for a given sample of length-weight data from a fish species using the method of maximum likelihood"--Intro.
Keywords:

Fishery Management Fishes Growth Mathematical Models Measurement Research Size Weight Fishery Management Mathematical Models
Series:

Pacific Islands Fisheries Science Center administrative Report H 12-03
Format:

PDF
Document Type:

Administrative Report
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Library
Main Document Checksum:

urn:sha256:d9a70ea1a797ebdc1d006793110a8258dc8fddec1ed048c8a8ebdb41805febfa
Download URL:

https://repository.library.noaa.gov/view/noaa/4222/noaa_4222_DS1.pdf
File Type:

[PDF - 91.67 KB ]

ON THIS PAGE

Details

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.