Academic literature on the topic 'Distribution poissons'
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Journal articles on the topic "Distribution poissons"
Huffer, Fred W., and Jayaram Sethuraman. "Joint Distributions of Counts of Strings in Finite Bernoulli Sequences." Journal of Applied Probability 49, no. 3 (September 2012): 758–72. http://dx.doi.org/10.1239/jap/1346955332.
Full textHuffer, Fred W., and Jayaram Sethuraman. "Joint Distributions of Counts of Strings in Finite Bernoulli Sequences." Journal of Applied Probability 49, no. 03 (September 2012): 758–72. http://dx.doi.org/10.1017/s0021900200009529.
Full textChurch, Kenneth W., and William A. Gale. "Poisson mixtures." Natural Language Engineering 1, no. 2 (June 1995): 163–90. http://dx.doi.org/10.1017/s1351324900000139.
Full textBÉGOUT-ANRAS, M. L., and J. P. LAGARDÈRE. "Domestication et comportement chez les poissons téléostéens." INRAE Productions Animales 17, no. 3 (July 29, 2004): 211–15. http://dx.doi.org/10.20870/productions-animales.2004.17.3.3594.
Full textBAIN, M. B. "L'habitat à l'échelle locale : distribution multiparamètre des poissons d'eau courante." Bulletin Français de la Pêche et de la Pisciculture, no. 337-338-339 (1995): 165–77. http://dx.doi.org/10.1051/kmae:1995019.
Full textKim, Hee-Young. "Applications of Poisson Hidden Markov models to PM10 concentrations data." Korean Data Analysis Society 24, no. 4 (August 31, 2022): 1203–12. http://dx.doi.org/10.37727/jkdas.2022.24.4.1203.
Full textLepichon, Céline, Évelyne Tales, Jérôme Belliard, Guillaume Gorges, Amandine Zahm, and Fabienne Clement. "La distribution spatiale des peuplements de poissons dans les petits bassins versants." Sciences Eaux & Territoires Cahier spécial, no. III (2012): 24. http://dx.doi.org/10.3917/set.hs05.0005.
Full textTsirilaza, Benjamin, Rabarison Guy Arthur Andriamirado, Jean Robertin Rasoloariniaina, Yves Mong Jean-Michel, and Rejo-Fienena Félicitée. "Diversité et Distribution du Peuplement Ichtyofaune dans l'Estuaire de Betsiboka, Nord-Ouest de Madagascar." European Scientific Journal, ESJ 20, no. 9 (March 31, 2024): 162. http://dx.doi.org/10.19044/esj.2024.v20n9p162.
Full textEkananda MM., MSE, Dr Mahyus. "ANALISIS PENGARUH VOLATILITAS NILAI TUKAR PADA EKSPOR KOMODITI MANUFAKTUR DI INDONESIA PENERAPAN ESTIMASI DENGAN MENGGUNAKAN DISTRIBUSI LAG POISSONS PADA PERSAMAAN NON LINEAR SEEMINGLY UNRELATED REGRESSION." Buletin Ekonomi Moneter dan Perbankan 7, no. 2 (May 20, 2005): 197–236. http://dx.doi.org/10.21098/bemp.v7i2.105.
Full textDUCROT, C., M. GAUTRET, T. PINEAU, and A. JESTIN. "Recherche française sur les maladies infectieuses des animaux d’élevage : évolution et comparaison à la recherche mondiale." INRA Productions Animales 29, no. 2 (July 9, 2019): 75–86. http://dx.doi.org/10.20870/productions-animales.2016.29.1.2517.
Full textDissertations / Theses on the topic "Distribution poissons"
Chalant, Anaïs. "Etude macroécologique de la distribution, diversité et vulnérabilité des poissons diadromes." Thesis, Paris, Muséum national d'histoire naturelle, 2016. http://www.theses.fr/2016MNHN0018/document.
Full textDiadromous species exhibit a life-cycle implying migrations between freshwater and ocean. Diadromy is observed in many fish lineages suggesting that adaptive traits are associated with this strategy such as better dispersal ability and more efficient tracking of the spatio-temporal variability of the environment. One of the hypotheses that have been put forward to explain the evolution and persistence of diadromy states that the purpose of migrations is to select environmental conditions that will optimize pre-reproductive growth. Growing at sea and reproducing in river (anadromy) is supposed to be favored when freshwater primary productivity is lower in freshwater than in the nearby sea. The reverse (growing in freshwater, reproducing in ocean; catadromy) is expected when productivity is higher in sea than in freshwater. According to our study, conducted at a global scale, this hypothesis holds true. In addition it is shown that diadromous species are overrepresented in species poor rivers and/or in those that have been open to colonization after the retreat of glaciers after the last glacial maximum. Because of their dispersal ability, diadromous species are also over-represented on oceanic islands. Biodiversity on islands is classical topic of biogeography but yet few studies have dealt with freshwater fishes. In our study of fish communities from the Polynesian islands, we demonstrate the generality of a model initially built to explain terrestrial biodiversity on oceanic islands. As predicted by this model, species richness peaks at peaks at intermediate island age. Also revealed by our results are a positive relationship between island elevation and species richness and a decrease in species richness as the distance from the nearest biodiversity hotspot increases. Diadromy has been a successful strategy over geologic times but in face to human activities it seems to contribute to extinction proneness, as exemplified by the numerous diadromous species red listed by IUCN. Paradoxically, our study about the biological and ecological traits shared by the freshwater fishes that have been recently globally extinct does not suggest that diadromy has been a major factor. This study points to endemism and restricted geographic range size as the major determinants of extinction. It seems that because of their dispersal abilities, diadromous species tend to have widespread historical distributions and, even if many species are declining, this prevented most of them from being entirely extirpated. This is well exemplified by the European sturgeon (Asipenser sturio), formerly widely distributed over Europe and now restricted to one reproducing population in the Garonne River, because of dramatic population collapses after 1850. To have a better idea of the fate of this species before 1850, we analyzed archaeozoological records. According to our analyses, sturgeons started to decline a long time ago, about 2500 years ago. Using reconstructed past temperatures, our analyses show that a high temperature increases the probability of finding this species in archeological remains but cannot explain entirely the observed decline. This suggests that human activities impacted sturgeon populations well before the industrial revolution. This thesis by synthesizing species occurrence data over different spatial and temporal scales contributed to a better knowledge about the diversity and vulnerability of diadromous fishes
Soewardi, Kadarwan. "Caractérisation des populations de Thymallus thymallus L. (poissons, salmonidés) et de Rutilus rutilus L. (poissons, cyprinidés) dans le réseau fluvial du Rhône : approche par l'étude du polymorphisme enzymatique." Lyon 1, 1988. http://www.theses.fr/1988LYO10110.
Full textVaslet, Amandine. "Ichtyofaune des mangroves des Antilles : influence des variables du milieu et approche isotopique des réseaux trophiques." Antilles-Guyane, 2009. http://www.theses.fr/2009AGUY0262.
Full textFish communities were studied in 38 mangrove sites bordering the bays of grand cul-de-sac marin (gcsm) and petit cul-de-sac marin in guadeloupe. Out of a total of 119 fish species, 42 species are of commercial interest. Juveniles represent around 70 % of fish totalabundance in mangroves. Canonical correspondence analyses revealed that, in the two mangrove bays, fishes were influenced by reef or river mouth proximities, water transparency and the extent of mangrove areas. In the gcsm, an environmental gradient from the coast seawards was observed. This gradient separated reef and seagrass beds species of mangrove islets. Located near the barrier reef, to mangrove resident fish species located in the close vicinity of river and channel mouths. During the wet season, important rainfall and fresh water runoffs created a terrestrial gradient influencing the replacement of reef species by mangrove species, more tolerant to turbid and less salty waters. Stable isotopes analyses of carbon (13c:12c) and nitrogen (15n:14n) enabled to determine the importance of mangrove habitat as fish feeding grounds. Carbon isotopic ratios of mangrove preys were more depleted compared to preys from seagrass beds. These isotopic signatures enabled the differentiation of three groups of fish species: species that consume preys from seagrass beds, species feeding in mangroves and species feeding in both ecosystems
Birgi, Emile. "Monogènes parasites de Poissons d'eau douce au Tchad et au Sud-Cameroun : taxonomie et essai de biogéographie comparée." Montpellier 2, 1987. http://www.theses.fr/1987MON20173.
Full textLeprieur, Fabien Brosse Sébastien. "Les introductions d'espèces de poissons d'eau douce distribution spatiale, déterminants et impacts sur les espèces natives /." Toulouse (Université Paul Sabatier, Toulouse 3), 2008. http://thesesups.ups-tlse.fr/151.
Full textPatty, Wilhelmina. "Déterminisme de la répartition spatio-temporelle des populations de poissons pélagiques à partir d'observations acoustiques et environnementales." Brest, 1996. http://www.theses.fr/1996BRES2043.
Full textLassalle, Géraldine Rochard Eric. "Impacts des changements globaux sur la distribution des poissons migrateurs amphihalins une approche par modélisation à l'échelle continentale /." S. l. : Bordeaux 1, 2008. http://ori-oai.u-bordeaux1.fr/pdf/2008/LASSALLE_GERALDINE_2008.pdf.
Full textRenno, Jean-François. "Génétique des populations et biogéographie de l'ichtyofaune néotropicale : le modèle Leporinus de Guyane." Montpellier 2, 1989. http://www.theses.fr/1989MON20219.
Full textPersohn, Cécile. "Sensibilité des populations de poissons aux changements globaux en fonction de leurs traits d’histoire de vie étudiée par une approche empirique." Brest, 2009. http://www.theses.fr/2009BRES2034.
Full textLeprieur, Fabien. "Les introductions d'espèces de poissons d'eau douce : distribution spatiale, déterminants et impacts sur les espèces natives." Toulouse 3, 2007. http://thesesups.ups-tlse.fr/151/.
Full textAlthough non-native fish species are well identified, the determinants of their spatial distribution and their impacts on biodiversity are poorly documented, especially at large spatial scales. In that context, this thesis aims (i) at improving our knowledge on the potential impacts of non-native fish species and (ii) at identifying the factors controlling their spatial distribution. This was achieved by considering different spatial scales. The local-scale approach (stream reach within a river basin) first shows that local abiotic conditions can influence the spatial distribution of an invasive species (brown trout, Salmo trutta L. ) in a New Zealand river basin and hence can mediate its impact on a native species (Galaxias anomalus Stockell). Especially, anthropogenic disturbances (such as water abstraction for agricultural purposes) do not necessarily promote species invasions as reported by most previous studies. Therefore, the effective conservation of threatened native species implies the implementation of management strategies adapted to the local environmental context. Last, an experimental study reveals that a species considered as invasive (such as brown bullhead, Ameiurus melas Raff. ) should be systematically studied in regards to its impact on native species. This is necessary to set up management strategies that account for the behavioural and ecological characteristics of the impacted native species. The regional-scale approach (river basin) first shows that the introductions of non-native fish species in Europe led to (i) an increase of the size of the regional pool of species (i. E. An increase in alpha diversity) and (ii) a decrease of the taxonomic similarity between river basins (i. E. A decrease in beta diversity corresponding to a taxonomic homogenization). .
Books on the topic "Distribution poissons"
Quéro, Jean-Claude. Les poissons du golfe de Gascogne. Plouzané: Service de la documentation et des publications, IFREMER, Centre de Brest, 1989.
Find full textFreshwater fish distribution. San Diego, Calif: Academic Press, 2001.
Find full textPaul, Planquette, Keith P, and Bail Pierre-Yves, eds. Atlas des poissons d'eau douce de Guyane. Paris: Patrimoine Naturel, Institut d'Ecologie et de Gestion de la Biodiversité, Museum National d'Histoire Naturelle, 1996.
Find full textGagnon, Marc. Les ressources halieutiques sur le versant nord de la péninsule gaspésienne: Distribution et perspectives de développement. Cap-Diamant, Qué: Ministère des pêches et des océans, 1986.
Find full textBerra, Tim M. Freshwater fish distribution: Tim M. Berra. Chicago: University of Chicago Press, 2007.
Find full textKeith, Philippe. Atlas des poissons et des crustacés d'eau douce de Polynésie française. Paris: Muséum National d'Histoire Naturelle, 2002.
Find full textOuellet, Patrick. Distribution automnale des stades larvaires de capelan (Mallotus villosus) et de hareng (Clupea harengus) dans le nord du golfe du Saint-Laurent en octobre 1985. Mont-Joli, Qué: Ministère des pêches et des océans, Division de la recherche sur les pêches, 1987.
Find full textTallman, Ross F. Synthesis of fish distribution, movements, critical habitat and food web for the lower Slave River north of the 60th parallel: A food chain perspective. Edmonton: Northern River Basins Study, 1996.
Find full textMarquet, Gérard. Atlas des poissons et des crustacés (décapodes) d'eau douce de Nouvelle-Calédonie. Paris: Publications scientifiques du Muséum national d'histoire naturelle, 2003.
Find full textBernatchez, Louis. Les poissons d'eau douce du Québec et leur répartition dans l'est du Canada. Boucherville, QC: Broquet, 2000.
Find full textBook chapters on the topic "Distribution poissons"
Thomopoulos, Nick T. "Poisson." In Statistical Distributions, 143–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65112-5_17.
Full textGooch, Jan W. "Poisson Distribution." In Encyclopedic Dictionary of Polymers, 991. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15324.
Full textGooch, Jan W. "Poisson Distribution." In Encyclopedic Dictionary of Polymers, 546. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_8909.
Full textWeik, Martin H. "Poisson distribution." In Computer Science and Communications Dictionary, 1293. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_14247.
Full textQuicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Standard distributions in R." In Practical R for biologists: an introduction, 335–47. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0030.
Full textQuicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Standard distributions in R." In Practical R for biologists: an introduction, 335–47. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0335.
Full textGrandell, Jan. "The mixed Poisson distribution." In Mixed Poisson Processes, 13–50. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3117-7_2.
Full textMariappan, Perumal. "Discrete Probability Distribution: Binomial and Poisson Distributions." In Statistics for Business, 169–78. Boca Raton, FL : CRC Press, 2019.: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429443244-10.
Full textGrandell, Jan. "Compound mixed Poisson distributions." In Mixed Poisson Processes, 145–206. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3117-7_8.
Full textGooch, Jan W. "Poisson Ratio Distribution." In Encyclopedic Dictionary of Polymers, 546. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_8911.
Full textConference papers on the topic "Distribution poissons"
Park, Daekwon, Juhun Lee, and Alejandra Romo. "Poisson's Ratio Material Distributions." In CAADRIA 2015: Emerging Experience in Past, Present and Future of Digital Architecture. CAADRIA, 2015. http://dx.doi.org/10.52842/conf.caadria.2015.735.
Full textAcharya, Jayadev, and Constantinos Daskalakis. "Testing Poisson Binomial Distributions." In Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2014. http://dx.doi.org/10.1137/1.9781611973730.122.
Full textDaskalakis, Constantinos, Ilias Diakonikolas, and Rocco A. Servedio. "Learning poisson binomial distributions." In the 44th symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2213977.2214042.
Full textHubert, Paulo C., Marcelo S. Lauretto, Julio M. Stern, Paul M. Goggans, and Chun-Yong Chan. "FBST for Generalized Poisson Distribution." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: The 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2009. http://dx.doi.org/10.1063/1.3275617.
Full textSEETHA MAHALAXMI, D., and P. R. K. MURTI. "TAMPER RESISTANCE VIA POISSON DISTRIBUTION." In Proceedings of the 3rd Asian Applied Computing Conference. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2007. http://dx.doi.org/10.1142/9781860948534_0019.
Full textAdzkiah, A., D. Lestari, and L. Safitri. "Exponential Conway Maxwell Poisson distribution." In PROCEEDINGS OF THE 6TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2020 (ISCPMS 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0059254.
Full textFitria, Dina, Nonong Amalita, and Syafriandi. "Poisson Distribution with Discrete Parameter." In Proceedings of the 2nd International Conference on Mathematics and Mathematics Education 2018 (ICM2E 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icm2e-18.2018.11.
Full textÖzel, Gamze, and Selen Çakmakyapan. "A new generalized Poisson Lindley distribution." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992404.
Full textMaes, Marc A., Markus Dann, and Michael Havbro Faber. "Hierarchical Bayes Analysis of Rare Events Using High-Dispersion Poisson Mixtures." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57197.
Full textHoffner, K., and M. Guay. "Poisson reduction via feedback invariant distributions." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC 2009). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5400337.
Full textReports on the topic "Distribution poissons"
Lindsay, Glenn F. Recruiter Productivity and the Poisson Distribution. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada286230.
Full textBryant, J. L., and A. S. Paulson. Estimation of the Parameters of a Modified Compound Poisson Distribution. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada178540.
Full textDeLacy, Brendan G., and Janon F. Embury. Infrared Extinction Coefficients of Aerosolized Conductive Flake Powders and Flake Suspensions having a Zero-Truncated Poisson Size Distribution. Fort Belvoir, VA: Defense Technical Information Center, November 2012. http://dx.doi.org/10.21236/ada570956.
Full textZacks, S., and Gang Li. The Distribution of the Size and Number of Shadows Cast on a Line Segment in a Poisson Random Field. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada233697.
Full textVecherin, Sergey, Stephen Ketcham, Aaron Meyer, Kyle Dunn, Jacob Desmond, and Michael Parker. Short-range near-surface seismic ensemble predictions and uncertainty quantification for layered medium. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45300.
Full textGuilfoyle, Michael, Ruth Beck, Bill Williams, Shannon Reinheimer, Lyle Burgoon, Samuel Jackson, Sherwin Beck, Burton Suedel, and Richard Fischer. Birds of the Craney Island Dredged Material Management Area, Portsmouth, Virginia, 2008-2020. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45604.
Full textTummala, Rohan, Andrew de Jesus, Natasha Tillett, Jeffrey Nelson, and Christine Lamey. Clinical and Socioeconomic Predictors of Palliative Care Utilization. University of Tennessee Health Science Center, January 2021. http://dx.doi.org/10.21007/com.lsp.2020.0006.
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