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

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

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

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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)

NMFS (National Marine Fisheries Service) ; PIFSC (Pacific Islands Fisheries Science Center) Less -
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
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
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Fitting length-weight relationships with linear regression using the log-transformed allometric model with bias-correction

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