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    Academic Journal
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    Review

    المؤلفون: Bowles, Emily

    المصدر: Library Journal. Jan2025, Vol. 150 Issue 1, p21-21. 1/5p.

    مصطلحات موضوعية: *COOKING with vegetables, *NONFICTION

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    Academic Journal

    المؤلفون: R, Anand

    المصدر: International Research Journal of Tamil; Vol. 6 No. S-1 (2024): Volume 6, Issue S-1, Year 2024; 142-146 ; 2582-1113

    مصطلحات موضوعية: Sangam Age, Food, Non Veg, Banars, Cow, Feast

    وصف الملف: application/pdf

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    Academic Journal
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    Report
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    Academic Journal
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    Academic Journal
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    Academic Journal

    المساهمون: Mori da Cunha, Marina G M C, van der Veer, Bernard K, Giacomazzi, Giorgia, Mackova, Katerina, Cattani, Laura, Koh, Kian Peng, Vande Velde, Greetje, Gijsbers, Rik, Albersen, Maarten, Sampaolesi, Maurilio, Deprest, Jan

    Relation: info:eu-repo/semantics/altIdentifier/pmid/37244975; info:eu-repo/semantics/altIdentifier/wos/WOS:000997228700032; volume:13; issue:1; firstpage:1; lastpage:12; numberofpages:12; journal:SCIENTIFIC REPORTS; https://hdl.handle.net/11573/1709656; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85160263767

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    Academic Journal

    المصدر: Sustainability; Volume 15; Issue 6; Pages: 4849

    جغرافية الموضوع: agris

    وصف الملف: application/pdf

    Relation: Sustainability, Biodiversity and Conservation; https://dx.doi.org/10.3390/su15064849

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    Academic Journal
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    Academic Journal
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    Academic Journal
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    المساهمون: Serrano, Mónica, Tenreiro, Rogério Paulo de Andrade, 1955-, Repositório da Universidade de Lisboa

    وصف الملف: application/pdf

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    Report

    المؤلفون: Saltnes, Tor Erik, Mahle, Anette H.

    المصدر: 180.

    جغرافية الموضوع: Norge

    وصف الملف: application/pdf

    Relation: Statens vegvesens rapporter;925; urn:issn:1893-1162; https://hdl.handle.net/11250/3085343

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    Review

    المؤلفون: Luster, Aspasia

    المصدر: Library Journal. Jan2023, Vol. 148 Issue 1, p44-45. 2p.

    مصطلحات موضوعية: *VEGETABLE gardening, *NONFICTION

    People: RODINO, Heather

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    Academic Journal
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    Academic Journal

    المصدر: Revista de la Facultad de Ciencias; Vol. 11 No. 2 (2022): Special Issue: Flat Likelihoods; 39-53 ; Revista de la Facultad de Ciencias; Vol. 11 Núm. 2 (2022): Número Especial: Verosimilitudes Planas; 39-53 ; 2357-5549 ; 0121-747X

    وصف الملف: application/pdf

    Relation: https://revistas.unal.edu.co/index.php/rfc/article/view/98450/84228; Barnard, G. A. (1967). The use of the likelihood function in statistical practice. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 1, 27--40.; Barnard, G. A. & Sprott D. A. (1983). Likelihood. In: Kotz S, Johnson NL (eds) Encyclopedia of statistical science, Vol 4. Wiley, New York, pp 639--644.; Barndorff-Nielsen, O. E. & Cox, D. R. (1994). Inference and asymptotics. Chapman & Hall/CRC. Boca Raton.; Berger, J. O., Liseo, B. & Wolpert, R. L. (1999). Integrated likelihood methods for eliminating nuisance parameters. Statistical Science, 14(1), 1-28.; Bolívar-Cimé, A., Díaz-Francés, E. & Ortega, J. (2015). Optimality of profile likelihood intervals for quantiles of extreme value distributions: application to environmental disasters. Hydrological Sciences Journal, 60(4), 651-670.; Breusch, T. S., Robertson, J. C. & Welsh, A. H. (1997). The emperor's new clothes: a critique of the multivariate t regression model. Statistica Neerlandica, 51(3), 269-286.; Catchpole, E. A. & Morgan, B. J. (1997). Detecting parameter redundancy. Biometrika, 84(1), 187-196.; Cheng, R. C. H. & Iles, T. C. (1990). Embedded models in three-parameter distributions and their estimation. Journal of the Royal Statistical Society. Series B (Methodological), 52(1), 135-149.; Cole, S. R., Chu, H. & Greenland, S. (2013). Maximum likelihood, profile likelihood, and penalized likelihood: a primer. American Journal of Epidemiology, 179(2), 252-260.; Cousineau, D., Goodman, V. W. & Shiffrin, R. M. (2002). Extending statistics of extremes to distributions varying in position and scale and the implications for race models. Journal of Mathematical Psychology, 46(4), 431-454.; De Haan, L. (1990). Fighting the arch-enemy with mathematics. Statistica neerlandica, 44(2), 45-68.; Deng, B., Jiang, D. & Gong, J. (2018). Is a three-parameter Weibull function really necessary for the characterization of the statistical variation of the strength of brittle ceramics?. Journal of the European Ceramic Society, 38(4), 2234-2242.; El Adlouni, S., Ouarda, T. B., Zhang, X., Roy, R. & Bobée, B. (2007). Generalized maximum likelihood estimators for the nonstationary generalized extreme value model. Water Resources Research, 43(3), W03410.; Elmahdy, E. E. & Aboutahoun, A. W.(2013). A new approach for parameter estimation of finite Weibull mixture distributions for reliability modeling. Applied Mathematical Modelling, 37(4), 1800-1810.; Elmahdy, E. E. (2015). A new approach for Weibull modeling for reliability life data analysis. Applied Mathematics and computation, 250, 708-720.; Farcomeni, A. & Tardella, L. (2012). Identifiability and inferential issues in capture-recapture experiments with heterogeneous detection probabilities. Electronic Journal of Statistics, 6, 2602-2626.; Frery, A. C., Cribari-Neto, F. & De Souza, M. O. (2004). Analysis of minute features in speckled imagery with maximum likelihood estimation. EURASIP Journal on Advances in Signal Processing, 2004(16), 2476-2491.; Ghosh, M., Datta, G. S., Kim, D. & Sweeting, T. J. (2006). Likelihood-based inference for the ratios of regression coefficients in linear models. Annals of the Institute of Statistical Mathematics, 58(3), 457-473.; Green, E. J., Roesch, F. A., Smith, A. F. & Strawderman, W. E. (1994). Bayesian Estimation for the Three-Parameter Weibull Distribution with Tree Diameter Data. Biometrics, 50(1), 254-269.; Harter, H. L. & Moore, A. H. (1966). Local-maximum-likelihood estimation of the parameters of three-parameter lognormal populations from complete and censored samples. Journal of the American Statistical Association, 61(315), 842-851.; Hirose, H. & Lai, T. L. (1997). Inference from grouped data in three-parameter Weibull models with applications to breakdown-voltage experiments. Technometrics, 39(2), 199-210.; Khan, H. M., Albatineh, A., Alshahrani, S., Jenkins, N. & Ahmed, N. U. (2011). Sensitivity analysis of predictive modeling for responses from the three-parameter Weibull model with a follow-up doubly censored sample of cancer patients. Computational Statistics & Data Analysis, 55(12), 3093-3103.; Kalbfleisch, J. G. (1985). Probability and Statistical Inference, Vol. 2. Springer-Verlag. New York.; Koutsoyiannis, D. (2004). Statistics of extremes and estimation of extreme rainfall: I. Theoretical investigation/Statistiques de valeurs extrêmes et estimation de précipitations extrêmes: I. Recherche théorique. Hydrological Sciences Journal, 49(4).; Kreutz, C., Raue, A., Kaschek, D. & Timmer, J. (2013). Profile likelihood in systems biology. The FEBS journal, 280(11), 2564-2571.; Li, R. & Sudjianto, A. (2005). Analysis of computer experiments using penalized likelihood in Gaussian Kriging models. Technometrics, 47(2), 111-120.; Lima, V. M. & Cribari-Neto, F. (2019). Penalized maximum likelihood estimation in the modified extended Weibull distribution. Communications in Statistics-Simulation and Computation, 48(2), 334-349.; Liu, S., Wu, H. & Meeker, W. Q. (2015). Understanding and addressing the unbounded ``likelihood'' problem. The American Statistician}, 69(3), 191-200.; Martins, E. S. & Stedinger, J. R. (2000). Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data. Water Resources Research, 36(3), 737-744.; Martins, E. S. & Stedinger, J. R. (2001). Generalized maximum likelihood Pareto-Poisson estimators for partial duration series. Water Resources Research, 37(10), 2551-2557.; Montoya, J. A. (2008). La verosimilitud perfil en la Inferencia Estadística. Centro de Investigación en Matemáticas, A. C., Guanajuato, Gto., México.; Montoya, J. A., Díaz-Francés, E. & Sprott, D.A. (2009). On a criticism of the profile likelihood function. Statistical Papers, 50(1), 195-202.; Murphy, S. A. & Van Der Vaart, A. W. (2000). On profile likelihood. Journal of the American Statistical Association, 95(450), 449-465.; Pawitan, Y. (2001). In All Likelihood: Statistical Modelling and Inference Using Likelihood. Oxford University Press. New York.; Pewsey, A. (2000). Problems of inference for Azzalini's skewnormal distribution. Journal of Applied Statistics, 27(7), 859-870.; Raue, A., Kreutz, C., Maiwald, T., Bachmann, J., Schilling, M., Klingmüller, U. & Timmer, J. (2009). Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood. Bioinformatics, 25(15), 1923-1929.; Serfling, R. J. (2002). Approximation Theorems of Mathematical Statistics. John Wiley & Sons. New York.; Silva, H. P. T. N. & Peiris, T. S. G.(2017). Statistical modeling of weekly rainfall: a case study in Colombo city in Sri Lanka. Proceedings of the Engineering Research Conference (MERCon), Moratuwa, IEEE, 241-246.; Smith, R. L. & Naylor, J. C. (1987). A comparison of maximum likelihood and Bayesian estimators for the three parameter Weibull distribution. Journal of the Royal Statistical Society, 36(3), 358--369.; Sprott, D. A. (2000). Statistical inference in science. Springer-Verlag. New York.; Sundberg, R. (2010). Flat and multimodal likelihoods and model lack of fit in curved exponential families. Scandinavian Journal of Statistics, 37(4), 632-643.; Tsionas, E. G. (2001). Likelihood and Posterior Shapes in Johnson's System. Sankhya: The Indian Journal of Statistics, Series B, 63(1), 3-9.; Tumlinson, S. E. (2015). On the non-existence of maximum likelihood estimates for the extended exponential power distribution and its generalizations. Statistics & Probability Letters, 107, 111-114.; https://revistas.unal.edu.co/index.php/rfc/article/view/98450

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    Academic Journal