FISHTERM bilingual dictionary Search results for 'Model' (6 record(s))
RECORD 1
| RECORD No. | 307 |
| AUTHOR | ELAD D. F. |
| DATE OF CREATION | |
| LAST UPDATE | 2023-03-09 00:00:00 |
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| TERM | * Modèle additif généralisé statut: préféré ; * MAG (nom masculin) statut: admis | ||||
| PART OF SPEECH | nom masculin | ||||
| DEFINITION |
Une procédure statistique similaire à un Modèle linéaire, c'est-à-dire que la variable de réponse (par exemple la CPUE) peut être modélisée comme une fonction non linéaire des variables dépendantes (par exemple le temps, la latitude, etc.). | ||||
| PLURAL | Modèles additifs généralisés ; | ||||
| DEFINITION SOURCE |
FISHTERM | ||||
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| SUBJECT FIELD |
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| TERM | * Generalised Additive Model statut: préféré ; * GAM (noun) statut: admis | ||||
| PART OF SPEECH | noun | ||||
| PLURAL | GAMs ; Generalised Additive Models ; | ||||
| DEFINITION |
A statistical procedure similar to a Generalised Linear Model (GLM), except that the response variable (e.g. CPUE) can be modeled as a non-linear function of the dependent variables (e.g. time, latitude, etc.).
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| DEFINITION SOURCE |
SCRS (2001) | ||||
RECORD 2
| RECORD No. | 312 |
| AUTHOR | ELAD D. F. |
| DATE OF CREATION | |
| LAST UPDATE | 2023-03-09 00:00:00 |
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| SUBJECT FIELD |
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| TERM | * Modèle additif généralisé statut: préféré ; * MAG (nom masculin) statut: admis | ||||
| PART OF SPEECH | nom masculin | ||||
| DEFINITION |
Une procédure statistique similaire à un Modèle linéaire, c'est-à-dire que la variable de réponse (par exemple la CPUE) peut être modélisée comme une fonction non linéaire des variables dépendantes (par exemple le temps, la latitude, etc.). | ||||
| PLURAL | Modèles additifs généralisés ; | ||||
| DEFINITION SOURCE |
FISHTERM | ||||
| ENGLISH | |||||
| SUBJECT FIELD |
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| TERM | * Generalised Additive Model statut: préféré ; * GAM (noun) statut: admis | ||||
| PART OF SPEECH | noun | ||||
| PLURAL | GAMs ; Generalised Additive Models ; | ||||
| DEFINITION |
A statistical procedure similar to a Generalised Linear Model (GLM), except that the response variable (e.g. CPUE) can be modeled as a non-linear function of the dependent variables (e.g. time, latitude, etc.).
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| DEFINITION SOURCE |
SCRS (2001) | ||||
RECORD 3
| RECORD No. | 305 |
| AUTHOR | ELAD D. F. |
| DATE OF CREATION | |
| LAST UPDATE | 2023-03-09 00:00:00 |
| FRENCH | |||||
| SUBJECT FIELD |
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| TERM | * Modèle linéaire généralisé statut: préféré ; * MLG (nom masculin) statut: admis | ||||
| PART OF SPEECH | nom masculin | ||||
| DEFINITION |
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| PLURAL | Modèles linéaires généralisés ; | ||||
| DEFINITION SOURCE |
FISHTERM | ||||
| ENGLISH | |||||
| SUBJECT FIELD |
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| TERM | * Generalised Linear Model statut: préféré ; * GLM (noun) statut: admis | ||||
| PART OF SPEECH | noun | ||||
| PLURAL | GLMs ; Generalised Linear Models ; | ||||
| DEFINITION |
A statistical procedure similar to an Analysis of Variance or a Multiple Regression that is used to esti- mate the magnitude of the effects of different factors on a variable of interest. | ||||
| DEFINITION SOURCE |
SCRS (2001) | ||||
| NOTES | GLMs are the tool of choice for standardizing CPUE data in order to obtain indices of abundance. In such applications, the variable of interest is CPUE and the factors are Year and perhaps others such as area, gear configuration, etc.; the standardized abundance index of annual abundance would then be given by the parameters associated with the factor Year. (Brown and Porch 1997; Cooke and Lankester 1996; McCullagh and Nelder 1989) | ||||
RECORD 4
| RECORD No. | 324 |
| AUTHOR | ELAD D. F. |
| DATE OF CREATION | |
| LAST UPDATE | 2023-10-28 00:00:00 |
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| SUBJECT FIELD |
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| TERM | * Modèle statut: préféré | ||||
| PART OF SPEECH | nom masculin | ||||
| DEFINITION |
Une idée conceptuelle et simplifiée du fonctionnement du "monde réel". | ||||
| DEFINITION SOURCE |
FISHTERM | ||||
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| SUBJECT FIELD |
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| TERM | * Model statut: préféré | ||||
| PART OF SPEECH | noun | ||||
| PLURAL | Models ; | ||||
| DEFINITION |
A conceptual and simplified idea of how the “real world” works. | ||||
| DEFINITION SOURCE | Fishterm | ||||
RECORD 5
| RECORD No. | 337 |
| AUTHOR | ELAD D. F. |
| DATE OF CREATION | |
| LAST UPDATE | 2023-10-31 00:00:00 |
| FRENCH | |||||
| SUBJECT FIELD |
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| TERM | * Modèle de population statut: préféré | ||||
| PART OF SPEECH | nom masculin | ||||
| DEFINITION |
Composante d'un modèle d'évaluation des stocks, composée de formulations qui décrivent la façon dont la population évolue d'une période à l'autre. | ||||
| PLURAL | Modèles de population ; | ||||
| DEFINITION SOURCE | Fishterm | ||||
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| SUBJECT FIELD |
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| TERM | * Population model statut: préféré | ||||
| PART OF SPEECH | noun | ||||
| PLURAL | Population models ; | ||||
| DEFINITION |
Component of a stock assessment model, made up of formulations that describe how the population changes from one time period to the next. | ||||
| DEFINITION SOURCE | Fishterm | ||||
| NOTES | The types of population models used by ICCAT vary, depending on the species life history and on data availability. Population models can roughly be classified as age/size structured or biomass-based; deterministic or stochastic; den- sity-dependent or density-independent; spatially-struc- tured or spatially aggregated; equilibrium or non-equi- librium. | ||||
RECORD 6
| RECORD No. | 340 |
| AUTHOR | ELAD D. F. |
| DATE OF CREATION | |
| LAST UPDATE | 2023-10-31 00:00:00 |
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| SUBJECT FIELD |
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| TERM | * Modèle de production statut: préféré | ||||
| PART OF SPEECH | nom féminin | ||||
| DEFINITION |
Modèle de population qui décrit, à l'aide de fonctions simples, comment la biomasse de la population évolue d'une année à l'autre (ou comment la
biomasse évolue à l'équilibre en fonction de la mortalité par pêche). | ||||
| PLURAL | Modèles de production ; | ||||
| DEFINITION SOURCE | Fishterm | ||||
| ENGLISH | |||||
| SUBJECT FIELD |
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| TERM | * Production model statut: préféré | ||||
| PART OF SPEECH | noun | ||||
| PLURAL | Production models ; | ||||
| DEFINITION |
model that describes, using simple functions, how the population biomass changes from year to year (or, how biomass changes in equilibrium as a function of fishing mortality). | ||||
| DEFINITION SOURCE |
SCRS (2001) | ||||
| NOTES | The simplest production functions aggregate all of the biological characteristics of growth, natural mortality and reproduction into a simple, deterministic model using three or four parameters. Production models are primarily used in simple- data situations, where total catch and effort data are available but age-structured information are either unavail- able or deemed to be less reliable (although some versions of production models allow the use of age structured data). (Cadima and Pinho 1996) | ||||
