Results 81 to 90 of about 377 (107)
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2007
The commercial CPUE series is considered during modeling of resource dynamics as an index of population abundance. However, a number of factors other than abundance may influence recorded values. Where sufficient data exists, General Linear Model (GLM) standardisation is able to take into account some of these effects, thereby producing a more reliable
Edwards, Charles +2 more
openaire +1 more source
The commercial CPUE series is considered during modeling of resource dynamics as an index of population abundance. However, a number of factors other than abundance may influence recorded values. Where sufficient data exists, General Linear Model (GLM) standardisation is able to take into account some of these effects, thereby producing a more reliable
Edwards, Charles +2 more
openaire +1 more source
2011
This paper provides results for a preliminary GLM standardisation analysis of the CPUE data for the South African horse mackerel (Trachurus trachurus capensis) midwater fishery from commercial trawl data. The series is to be used as part of an updated horse mackerel assessment. The data, provided by Jan van der Westhuizen (pers. commn), cover a variety
Furman, Liam B, Butterworth, Doug S
openaire +1 more source
This paper provides results for a preliminary GLM standardisation analysis of the CPUE data for the South African horse mackerel (Trachurus trachurus capensis) midwater fishery from commercial trawl data. The series is to be used as part of an updated horse mackerel assessment. The data, provided by Jan van der Westhuizen (pers. commn), cover a variety
Furman, Liam B, Butterworth, Doug S
openaire +1 more source
2012
The longline CPUE series for the three outer islands are GLMM standardised through to 2010. Year, month, area, trap-type, soak time, depth and year-area interactions are treated as fixed effects, and year-month interactions treated as a random effect.
Johnston, Susan J +2 more
openaire +1 more source
The longline CPUE series for the three outer islands are GLMM standardised through to 2010. Year, month, area, trap-type, soak time, depth and year-area interactions are treated as fixed effects, and year-month interactions treated as a random effect.
Johnston, Susan J +2 more
openaire +1 more source
2009
The longline CPUE series for the three outer islands are GLMM standardised. Year, month, area, trap-type, soak time, depth and year-area interactions are treated as fixed effects, and year-month interactions treated as a random effect. For Tristan, for which the available powerboat data are more limited, a GLM with year and month as fixed effects is ...
Johnston, Susan J +2 more
openaire +1 more source
The longline CPUE series for the three outer islands are GLMM standardised. Year, month, area, trap-type, soak time, depth and year-area interactions are treated as fixed effects, and year-month interactions treated as a random effect. For Tristan, for which the available powerboat data are more limited, a GLM with year and month as fixed effects is ...
Johnston, Susan J +2 more
openaire +1 more source
2007
GLM analyses are used to standardise the CPUE data for Namibian orange roughy in a manner that deals with tows that record zero catch of orange roughy. The possibility of there being a “learning” period of lower CPUE for a new vessel when it enters the fishery is taken into account.
Brandão, Anabela, Butterworth, Doug S
openaire +1 more source
GLM analyses are used to standardise the CPUE data for Namibian orange roughy in a manner that deals with tows that record zero catch of orange roughy. The possibility of there being a “learning” period of lower CPUE for a new vessel when it enters the fishery is taken into account.
Brandão, Anabela, Butterworth, Doug S
openaire +1 more source
2009
Updated CPUE data for the Canadian, Portugese and Spanish fleets are standardised using GLMs with an overdispersed Poisson error structure, and allowing for finer spatial stratification than the Division level to correct for possible redistribution of fishing towards higher density areas.
Brandão, Anabela +2 more
openaire +1 more source
Updated CPUE data for the Canadian, Portugese and Spanish fleets are standardised using GLMs with an overdispersed Poisson error structure, and allowing for finer spatial stratification than the Division level to correct for possible redistribution of fishing towards higher density areas.
Brandão, Anabela +2 more
openaire +1 more source
2006
GLM analyses are used to standardise the CPUE data for Namibian orange roughy in a manner that deals with tows that record zero catch of orange roughy. The possibility of there being a “learning” period of lower CPUE for a new vessel when it enters the fishery is taken into account.
Brandão, Anabela, Butterworth, Doug S
openaire +1 more source
GLM analyses are used to standardise the CPUE data for Namibian orange roughy in a manner that deals with tows that record zero catch of orange roughy. The possibility of there being a “learning” period of lower CPUE for a new vessel when it enters the fishery is taken into account.
Brandão, Anabela, Butterworth, Doug S
openaire +1 more source

