T. Kirkwood and S. Austad, Why do we age ?, Nature, vol.408, issue.6809, pp.233-238, 2000.
DOI : 10.1038/35041682

G. Cailliet, W. Smith, H. Mollet, and K. Goldman, Age and growth studies of chondrichthyan fishes: the need for consistency in terminology, verification, validation, and growth function fitting, Environmental Biology of Fishes, vol.115, issue.1, pp.211-228, 2006.
DOI : 10.1007/s10641-006-9105-5

A. Booth, A. J. Malcolm, and J. , Age validation, growth, mortality, and demographic modelling of spotted gully shark (Triakis megalopterus) from the southeast coast of South Africa, Fishery Bulletin, vol.109, pp.101-112, 2011.

A. Cotter, L. Burt, C. Paxton, C. Fernandez, and S. Buckland, Are stock assessment methods too complicated?, Fish and Fisheries, vol.70, issue.1, pp.235-254, 2004.
DOI : 10.1046/j.1095-8649.2003.00047.x

J. Young, The Statocysts of Octopus vulgaris, Proceedings of the Royal Society of London, Series B, pp.3-29, 1960.
DOI : 10.1098/rspb.1960.0019

N. Mitchell, M. Dardeau, and . Schroederw, Colony morphology, age structure, and relative growth of two gorgonian corals, Leptogorgia hebes (Verrill) and Leptogorgia virgulata (Lamarck), from the northerm Gulf of Mexico, Coral Reefs, vol.8, issue.12, pp.65-70, 1993.
DOI : 10.1007/BF00302103

S. Saether, J. Kalas, and P. Fiske, Age-determination of breeding shorebirds quantification of feather wear in the lekking great snipe. The Condor, pp.959-972, 1994.

E. Hayes and R. Wall, Age-grading adult insects: a review of techniques, Physiological Entomology, vol.19, issue.1, pp.1-10, 1999.
DOI : 10.1016/0020-7519(94)90164-3

A. Bertolero, M. Carretero, and G. Lorente, An assessment of the reliability of growth rings counts for age determination in the Hermann's Tortoise Testudo hermanni, Amphibia-Reptilia, vol.26, issue.1, pp.17-23, 2005.
DOI : 10.1163/1568538053693198

L. Natanson, N. Kohler, D. Ardizzone, G. Cailliet, and S. Wintner, Validated age and growth estimates for the shortfin mako, Isurus??oxyrinchus, in the North Atlantic Ocean, Environmental Biology of Fishes, vol.97, issue.1, pp.367-383, 2006.
DOI : 10.1007/s10641-006-9127-z

C. Buratti and B. Santos, Otolith microstructure and pelagic larval duration in two stocks of the Argentine hake, Merluccius hubbsi, Fisheries Research, vol.106, issue.1, pp.2-7, 2010.
DOI : 10.1016/j.fishres.2010.05.007

G. Pannella, Fish Otoliths: Daily Growth Layers and Periodical Patterns, Science, vol.173, issue.4002, pp.1124-1127, 1971.
DOI : 10.1126/science.173.4002.1124

Y. Mugiya and S. Tanaka, Otolith Development, Increment Formation, and an Uncoupling of Otolith to Somatic Growth Rates in Larval and Juvenile Goldfish., NIPPON SUISAN GAKKAISHI, vol.58, issue.5, pp.845-851, 1992.
DOI : 10.2331/suisan.58.845

R. Marriott and B. Mapstone, Consequences of inappropriate criteria for accepting age estimates from otoliths, with a case study for a long-lived tropical reef fish, Canadian Journal of Fisheries and Aquatic Sciences, vol.63, issue.10, pp.2259-2274, 2006.
DOI : 10.1139/f06-109

A. Punt, D. Smith, K. Krusicgolub, and S. Robertson, Quantifying age-reading error for use in fisheries stock assessments, with application to species in Australia???s southern and eastern scalefish and shark fishery, Canadian Journal of Fisheries and Aquatic Sciences, vol.65, issue.9, pp.1991-2005, 2008.
DOI : 10.1139/F08-111

M. Bertignac, D. Pontual, and H. , Consequences of bias in age estimation on assessment of the northern stock of European hake (Merluccius merluccius) and on management advice, ICES Journal of Marine Science, vol.64, issue.5, pp.981-988, 2007.
DOI : 10.1093/icesjms/fsm039

J. Neilson, Sources of error in otolith microstructure examination Otolith microstructure examination and analysis, Canadian Special Publication Fisheries Aquatic Science, vol.117, pp.115-126, 1992.

J. Uchiyama and P. Struhsaker, Age and growth of skipjack tuna, Katsuwonus pelamis, and yellowfin tuna, Thunnus albacares as indicated by daily growth increments of sagittae, Fishery Bulletin, vol.79, pp.151-162, 1981.

B. Stéquert, Détermination de l'a ?ge des thons tropicaux a ` partir de leurs otolithes: exemple du Yellowfin (Thunnus albacares), Document Technique du Centre ORSTOM de Brest, vol.76, pp.1-31, 1995.

R. Radtke and D. Fey, Environmental effects on primary increment formation in the otoliths of newly-hatched Arctic charr, Journal of Fish Biology, vol.48, issue.6, pp.1238-1255, 1996.
DOI : 10.1006/jfbi.1996.0124

J. Panfili, T. J. Morales-nin, and B. , Otolith Microstructure in Tropical Fish, Fish Biology and Fisheries, pp.212-248, 2009.
DOI : 10.1007/978-1-4020-5775-5_7

A. Eltink, A. Newton, C. Morgado, M. Santamaria, and J. Modin, Guidelines and tools for age reading comparisons (PDF document version 1, 2000.

B. Caillart and E. Morize, (Bleeker), ?? l'aide d'un marqueur fluorescent : l'oxyt??tracycline, Aquatic Living Resources, vol.2, issue.4, pp.255-261, 1989.
DOI : 10.1051/alr:1989030

S. Campana, Accuracy, precision and quality control in age determination, including a review of the use and abuse of age validation methods, Journal of Fish Biology, vol.65, issue.2, pp.197-242, 2001.
DOI : 10.1006/jmsc.1994.1022

M. Miyake, N. Miyabe, and H. Nakano, Historical trends of tuna catches in the world. FAO Fisheries Technical Paper No. 467, p.74, 2004.

M. Miyake, P. Guillotreau, C. Sun, and G. Ishimura, Recent developments in the tuna industry: stocks, fisheries, management, processing, trade and markets. FAO Fisheries Technical Paper No. 543, p.125, 2010.

M. Herrera and L. Pierre, Status of IOTC databases for tropical tunas, IOTC- WPTT, vol.3, p.28, 2010.

A. Langley, M. Herrera, and J. Million, Stock assessment of yellowfin tuna in the Indian Ocean using MULTIFAN-CL, IOTC-WPTT, vol.23, p.72, 2010.

F. Marsac and G. Lablache, Preliminary study of the growth of yellowfin estimated from purse seine data in the Western Indian Ocean. IPTP Collective volume of working documents, pp.91-110, 1985.

F. Marsac, Preliminary study of the growth of yellowfin estimated from purse seine data in the Western Indian Ocean, IPTP Collective, vol.6, pp.35-39, 1991.

O. Lumineau, Study of the growth of Yellowfin tuna (Thunnus albacares) in the Western Indian Ocean based on length frequency data, IOTC Proceedings, vol.5, pp.316-327, 2002.

A. Viera, Study of the growth of Yellowfin tuna (Thunnus albacares) in the Indian Ocean based on length-frequency data from, p.17, 2000.

L. Guen, J. Sakagawa, and G. , Apparent growth of yellowfin tuna from the Eastern Atlantic ocean, Fishery Bulletin, vol.71, pp.175-187, 1973.

E. Romanov and L. Korotkova, Age and growth rates of yellowfin tuna Thunnus albacares (Bonnaterre 1788) (Pisces, Scombridae) in the north-western part of the Indian Ocean, determined by counting the rings of vertebrae. FAO/ IPTP Collection, pp.68-73, 1988.

D. Gascuel, A. Fonteneau, and C. Capisano, de l'Atlantique Est, Aquatic Living Resources, vol.5, issue.3, pp.155-172, 1992.
DOI : 10.1051/alr:1992016

P. Lehodey and B. Leroy, Age and growth of yellowfin tuna (Thunnus albacares) from the western and central Pacific Ocean as indicated by daily growth increments and tagging data, 12th Meeting of the SCTB, Working Paper YFT, pp.1-21, 1999.

J. Clark, Why environmental scientists are becoming Bayesians, Ecology Letters, vol.96, issue.1, pp.2-14, 2005.
DOI : 10.1111/j.1461-0248.2004.00702.x

A. Gelman, J. Carlin, H. Stern, and D. Rubin, Bayesian Data Analysis, Second Edition, Chapman & Hall/CRC Texts in Statistical Science, p.696, 2004.

N. Cressie, C. Calder, J. Clark, V. Hoef, J. Wikle et al., Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling, Ecological Applications, vol.9, issue.3, pp.553-570, 2009.
DOI : 10.1002/env.769

T. Helser and H. Lai, A Bayesian hierarchical meta-analysis of fish growth: with an example for North American largemouth bass, Micropterus salmoides, Ecological Modelling, vol.178, issue.3-4, pp.399-416, 2004.
DOI : 10.1016/j.ecolmodel.2004.02.013

E. Rivot, E. Prévost, E. Parent, and J. Baglinière, A Bayesian state-space modelling framework for fitting a salmon stage-structured population dynamic model to multiple time series of field data, Ecological Modelling, vol.179, issue.4, pp.463-485, 2004.
DOI : 10.1016/j.ecolmodel.2004.05.011

A. Punt and R. Hilborn, Fisheries stock assessment and decision analysis: the Bayesian approach, Reviews in Fish Biology and Fisheries, vol.7, issue.1, pp.35-63, 1997.
DOI : 10.1023/A:1018419207494

M. Mcallister, E. Pikitch, and E. Babcock, Using demographic methods to construct Bayesian priors for the intrinsic rate of increase in the Schaefer model and implications for stock rebuilding, Canadian Journal of Fisheries and Aquatic Sciences, vol.58, issue.9, pp.1871-1890, 2001.
DOI : 10.1139/f01-114

Y. Chen, Y. Jiao, and L. Chen, Developing robust frequentist and Bayesian fish stock assessment methods, Fish and Fisheries, vol.38, issue.2, pp.105-120, 2003.
DOI : 10.1139/cjfas-55-12-2691
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.522.3268

J. Hallier, Status of the Indian Ocean tuna tagging programme -RTTP- IO, IOTC-WPTDA, vol.10, p.40, 2008.

A. Wild and T. Foreman, The relationship between otolith increments and time for yellowfin and skipjack tuna marked with tetracycline, Inter-American Tropical Tuna Commission Bulletin, vol.17, pp.507-560, 1980.

D. Secor, J. Dean, and E. Laban, Manual for otolith removal and preparation for microstructural examination, Electric Power Research Institute and the Belle W Baruch Institute for Marine Biology and Coastal Research, 1991.

A. Wild, J. Wexler, and T. Foreman, Extended studies of increment deposition rates in otoliths of yellowfin and skipjack tunas, Bulletin of Marine Science, vol.57, pp.555-562, 1995.

J. Eveson and J. Million, Estimation of growth parameters for yellowfin, bigeye and skipjack tuna using tag-recapture data, IOTC-Working Party on Tagging Data Analysis, vol.7, p.31, 2008.

G. Laslett, J. Eveson, and T. Polacheck, A flexible maximum likelihood approach for fitting growth curves to tag??recapture data, Canadian Journal of Fisheries and Aquatic Sciences, vol.59, issue.6, pp.976-986, 2002.
DOI : 10.1139/f02-069

J. Eveson, G. Laslett, and T. Polacheck, An integrated model for growth incorporating tag??recapture, length??frequency, and direct aging data, Canadian Journal of Fisheries and Aquatic Sciences, vol.61, issue.2, pp.292-306, 2004.
DOI : 10.1139/f03-163

A. Borchani, Statistiques des valeurs extrêmes dans le cas de lois discrètes, ESSEC Business School, 2010.

J. Hosking, Algorithm AS 215: Maximum-Likelihood Estimation of the Parameters of the Generalized Extreme-Value Distribution, Applied Statistics, vol.34, issue.3, pp.301-310, 1985.
DOI : 10.2307/2347483

A. Gelman and D. Rubin, Inference from Iterative Simulation Using Multiple Sequences, Statistical Science, vol.7, issue.4, pp.457-511, 1992.
DOI : 10.1214/ss/1177011136

B. Stéquert, J. Panfili, and J. Dean, Age and growth of yellowfin tuna, Thunnus albacares, from the western indian ocean, based on otolith microstructure, Fishery Bulletin, vol.94, pp.124-134, 1996.

W. Norbis, M. Lorenzo, and G. Torres, Intra-annual growth variations of young-of-the-year hake (Merluccius hubbsi) of the Uruguayan continental shelf based on otolith analysis, Fisheries Research, vol.44, issue.2, pp.129-137, 1999.
DOI : 10.1016/S0165-7836(99)00059-4

A. Wild, Growth of yellowfin tuna, Thunnus albacares, in the Eastern Pacific Ocean based on otolith increments, Inter-American Tropical Tuna Commission Bulletin, vol.18, pp.423-479, 1986.

D. Pontual, H. Groison, A. Piñ-eiro, C. Bertignac, and M. , Evidence of underestimation of European hake growth in the Bay of Biscay, and its relationship with bias in the agreed method of age estimation, ICES Journal of Marine Science, vol.63, issue.9, pp.1674-1681, 2006.
DOI : 10.1016/j.icesjms.2006.07.007

B. Stéquert and F. Conand, Preliminary studies of age and growth of bigeye tuna (Thunnus obesus) in the Western Indian Ocean, IOTC Proceedings, pp.249-255, 2000.

B. Stéquert and F. Conand, Age and growth of bigeye tuna (Thunnus obesus) in the Western Indian Ocean, Cybium, vol.28, pp.163-170, 2004.

R. Anderson, Growth and migration of juvenile yellowfin tuna (Thunnus albacares) in the central Indian Ocean. IPTP Collective volume of working documents, pp.28-39, 1988.

A. Firoozi and G. Carrara, An analysis of lengh-frequencies of Thunnus albacares in Iranian waters, IPTP Collective, vol.8, pp.95-102, 1992.

K. Yamanaka, Age, growth and spawning of yellowfin tuna in the southern Philippines. Indo-Pacific Tuna Development and Management Programme Working Paper, pp.1-87, 1990.

P. Nootmorn, A. Yakoh, and K. Kawises, Reproductive biology of yellowfin tuna in the Eastern Indian Ocean, IOTC-WPTT, vol.14, pp.379-385, 2005.

G. Zhu, L. Xu, Y. Zhou, and L. Song, Reproductive biology of yellowfin tuna T. albacares in the west-central Indian Ocean, Journal of Ocean University of China, vol.21, issue.1, pp.327-332, 2008.
DOI : 10.1007/s11802-008-0327-3

D. Ludwig, R. Hilborn, and C. Walters, Uncertainty, Resource Exploitation, and Conservation: Lessons from History, Science, vol.260, issue.5104, pp.17-36, 1993.
DOI : 10.1126/science.260.5104.17

R. Hilborn and M. Mangel, The Ecological Detective: Confronting Models with Data, p.338, 1997.

R. Meyer and R. Millar, BUGS in Bayesian stock assessments, Canadian Journal of Fisheries and Aquatic Sciences, vol.56, issue.6, pp.1078-1086, 1999.
DOI : 10.1139/f99-043