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Inferencia multimodelo en ciencias sociales y ambientales Ecología austral
Garibaldi,Lucas A; Aristimuño,Francisco J; Oddi,Facundo J; Tiribelli,Florencia.
Los profesionales de las ciencias sociales y ambientales debemos resolver problemas (contestar preguntas) a partir de la recolección y el análisis de datos. Habitualmente, todos enfrentamos dificultades similares; queremos tomar decisiones sobre una población (e.g., todos los árboles de una región), pero sólo contamos con información de una muestra (algunos árboles de esa región). Una herramienta fundamental en este proceso es plantear modelos de la población sobre la variable de interés (crecimiento los árboles en función de la edad y las condiciones climáticas) para luego utilizar sus predicciones en la toma de decisiones (turnos de corta de acuerdo a las condiciones climáticas). En esta ayuda didáctica discutimos cómo plantear, estimar y seleccionar...
Tipo: Info:eu-repo/semantics/article Palavras-chave: AIC; Ajuste; Akaike; Hipótesis; Inferencia; Modelo; Parsimonia; Predicción; Valor P; Verosimilitud.
Ano: 2017 URL: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1667-782X2017000400016
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Global literature of fiddler crabs, genus Uca (Decapoda, Ocypodidae): trends and future directions Iheringia, Sér. Zool.
Nabout,João C.; Bini,Luis M.; Diniz-Filho,José A. F..
Crabs of the genus Uca Leach, 1814 are characterized by having strong sexual dimorphism and a global distribution. Currently, 97 species have been described and analyzed under several aspects, including population ecology, physiology and ethology. However, there is no general summary of the information from the various literatures. The aim of this study is to perform a scientometric analysis of fiddler crab studies. For this we searched papers available in the Thomson ISI database that contained the words "Uca" OR "fiddler* crab*" between the years 1991 and 2007. For each paper, we researched and recorded the following characteristics: publication year; journal of publication; the first author's nationality; the country where the study was conducted; study...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Scientometrics; Population biology; Uca pugilator; AIC; Per capita income.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0073-47212010000400019
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What controls the spatial distribution of the North Sea plaice spawning population? Confronting ecological hypotheses through a model selection framework ArchiMer
Loots, Christophe; Vaz, Sandrine; Planque, Benjamin; Koubbi, Philippe.
The spatial dynamics of spawning fish are crucial because they influence the survival rates of eggs and larvae and ultimately impact the reproductive success of populations. The factors that control these dynamics are complex and potentially many, and they interact. A model-selection-based approach was developed to confront various hypotheses of control of the spatial distribution of spawning population of North Sea plaice (Pleuronectes platessa). For each hypothesis or combination thereof, statistical models were constructed. These were then ranked and selected based on their ability to adjust and predict observed spatial distributions. The North Sea plaice population seems to have developed strong attachment to specific spawning sites, where geographic...
Tipo: Text Palavras-chave: AIC; Multi model inference; North Sea plaice; Spatial distribution; Spawning population.
Ano: 2010 URL: http://archimer.ifremer.fr/doc/00000/11157/9933.pdf
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Drying kinetics of yellow mombin (Spondias mombin L.) epicarp AGRIAMBI
Pinheiro,Gleyce K. I.; Oliveira,Daniel E. C. de; Ferreira Junior,Weder N.; Resende,Osvaldo.
ABSTRACT Yellow mombin (Spondias mombin L.) fruits have relevant characteristics for industrialization and exhibit a pleasant aroma and sour-sweet taste, with significant amounts of vitamin A and carotenoids in their epicarp. The objective was to fit different mathematical models to the experimental data, using as criteria to select the best model - the Akaike Information Criteria (AIC) and Schwarz’s Bayesian Information Criteria (BIC), as well as to evaluate the effective diffusion coefficient and to determine the activation energy for yellow mombin epicarp submitted to different drying conditions. The experiment was carried out at the Instituto Federal de Educação, Ciência e Tecnologia Goiano, Brazil The epicarp of yellow mombin fruits with initial...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Mathematical modeling; AIC; BIC; Midilli model.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000200121
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