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| Registros recuperados: 13 | |
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| Mante, C; Durbec, Jp; Dauvin, Jc. |
| Statistical analysis of long-term changes in marine communities generally involves recourse to multivariate methods. Some of these, such as Correspondence Analysis (CA), are very sensitive to the presence of rare species in the data, whereas other methods, such as Principal Components analysis (PCA) or Multidimensional Scaling (MDS) are only sensitive to the dominant species. Thus, it is necessary to identify rare species. We used an original method of species determination, based on a multinomial scheme and permitting the generalization of the classical presence/absence coding from a probabilistic viewpoint. This selection method was applied to the identification of the different categories of species (rare, intermediate or dominant) that constitute the... |
| Tipo: Text |
Palavras-chave: Statistical analysis; Probability; Long-term changes; Macrobenthic community. |
| Ano: 1997 |
URL: http://archimer.ifremer.fr/doc/00093/20428/18095.pdf |
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| Dallacort, Rivanildo; UNEMAT; Martins, Juliano Araujo; UNEMAT; Inoue, Miriam Hiroko; UNEMAT; Freitas, Paulo Sérgio Lourenço de; UEM; Coletti, Ademar Junior; UNEMAT. |
| Pela grande importância em se conhecer a distribuição da precipitação pluviométrica no município de Tangará da Serra, Estado do Mato Grosso (lat. 14°37’55”S, long. 57°28’05”W e altitude de 488 m), por ser uma região de expressão agrícola, esse tipo de informação se torna indispensável para um planejamento adequado, uma maximização do potencial agrícola e uma otimização dos recursos hídricos. Nesse sentido, o objetivo do trabalho foi avaliar a variabilidade anual, mensal e decendial, quantificar o número de dias secos e chuvosos e a precipitação para diferentes níveis de probabilidade. Foram utilizados dados pluviométricos disponibilizados pela Agência Nacional de Águas (ANA), do período de janeiro de 1970 a dezembro de 2007, totalizando um... |
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Palavras-chave: 5.01.05.00-0 precipitação pluvial; Probabilidade; Recursos hídricos Engenharia de Água e Solo / Agrometeorologia pluviometric precipitation; Probability; Hydric resources. |
| Ano: 2011 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5838 |
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| Lawrence, John D.; Wang, Zhi; Loy, Daniel D.. |
| Conventional wisdom and earlier research have concluded that cattle feeding profitability is more determined by feeder and fed cattle prices than by animal performance. This study examined cross-sectional and time-series data from over 1600 pens of cattle in more than 220 feedlots in the upper Midwest where weather and lot conditions are thought to influence feedlot profitability. In addition to input and output prices and animal performance, other factors found to significantly impact cattle feeding profitability were sex, placement weight, facility design, and to a lesser extent placement season. |
| Tipo: Journal Article |
Palavras-chave: Cattle feedlots; Probability; Risk; Livestock Production/Industries. |
| Ano: 1999 |
URL: http://purl.umn.edu/15377 |
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| Uliana,Eduardo M.; Silva,Demetrius D. da; Silva,José G. F. da; Fraga,Micael de S.; Lisboa,Luana. |
| ABSTRACT This study aimed at testing the fit of continuous probability distributions to a daily reference evapotranspiration dataset (ET0) at a 75% probability level for designing of irrigation systems. Reference evapotranspiration was estimated by the Penman-Monteith method (FAO-56-PM) for eight locations, within the state of Espírito Santo (Brazil), where there are automatic gauge stations. The assessed probability distributions were beta, gamma, generalized extreme value (GEV), generalized logistic (GLO), generalized normal (GN), Gumbel (G), normal (N), Pearson type 3 (P3), Weibull (W), two- and three-parameter lognormal (LN2 and LN3). The fitting of the probability distributions to the ET0 daily dataset was checked by the Kolmogorov-Smirnov's test.... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Evapotranspiration; Probability; Irrigation. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000200257 |
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| McRoberts, Neil. |
| As with other areas of science, supply chain analysis suffers from the fact that practitioners of its different component disciplines often find it exchange results and methods of analysis. For fresh produce supply chains a key issue is how to unite the elegant mathematical work on the physiology of quality change with the more qualitative methods of social science that are applied to the analysis supply chain management. This paper explores the possibility of utilising approaches which are widely used in demography to unify concepts of quality modelling and supply chain efficiency in the fresh produce sector. A key feature of demographic (or karpographic) models is that they use the average properties of individuals to model the behaviour of cohorts (or... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Quality; Modelling; Matrix model; Variance; Supply chain; Probability; Agribusiness. |
| Ano: 2006 |
URL: http://purl.umn.edu/45995 |
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| Vinzant, Patrick L.; Neibergs, J. Shannon. |
| Thoroughbred racehorses are commonly characterized as unprofitable investments. Previous studies, grouping all racehorses together, estimate that over 80% of all racehorses in training fail to earn enough to recover the variable costs of training. However, these studies are not truly representative, because they fail to account for a number of factors affecting profitability. This study estimates expected purse earnings and profitability of claiming horses in Kentucky. Maximum-likelihood estimates of probability distribution parameters show that expected purse earnings follow an exponential distribution with a mean of $25,267. Profitability is best described by a Gamma distribution with a mean of $4,824. Of the 305 claims analyzed for profitability,... |
| Tipo: Journal Article |
Palavras-chave: Claiming horses; Financial risk; Maximum likelihood; Probability; Profitability; Thoroughbred; Agribusiness. |
| Ano: 1999 |
URL: http://purl.umn.edu/14682 |
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| Registros recuperados: 13 | |
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