Model building using covariates in nonlinear mixed-effects models
José C. Pinheiro (2002)
Journal de la société française de statistique
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José C. Pinheiro (2002)
Journal de la société française de statistique
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Hwa, Yen Siew (2006)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Chakraborty, Arindom, Das, Kalyan (2010)
Computational & Mathematical Methods in Medicine
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Geert Molenberghs, Herbert Thijs, Bart Michiels, Geert Verbeke, Michael G. Kenward (2004)
Journal de la société française de statistique
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G. de Soete (1983)
Mathématiques et Sciences Humaines
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Ewa Skotarczak, Ewa Bakinowska, Kamila Tomaszyk (2014)
Biometrical Letters
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A nonlinear statistical approach was used to evaluate the efficiency of plant protection products. The methodology presented can be implemented when the observations in an experiment are recorded as success or failure. This occurs, for example, when following the application of a herbicide or pesticide, a single weed or insect is classified as alive (failure) or dead (success). Then a higher probability of success means a higher efficiency of the tested product. Using simulated data...
Daniel Peña (1988)
Trabajos de Estadística
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This paper presents a classification of statistical models using a simple and logical framework. Some remarks are made about the historical appearance of each type of model and the practical problems that motivated them. It is argued that the current stages of the statistical methodology for model building have arisen in response to the needs for more sophisticated procedures for building dynamic-explicative types of models. Some potentially important topics for future research are included. ...
Geliazkova, Maya (2010)
Serdica Journal of Computing
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We develop, implement and study a new Bayesian spatial mixture model (BSMM). The proposed BSMM allows for spatial structure in the binary activation indicators through a latent thresholded Gaussian Markov random field. We develop a Gibbs (MCMC) sampler to perform posterior inference on the model parameters, which then allows us to assess the posterior probabilities of activation for each voxel. One purpose of this article is to compare the HJ model and the BSMM in terms of receiver operating characteristics...
Ana Debón, Francisco Montes, Ramón Sala (2005)
SORT
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The parametric graduation of mortality data has as its objective the satisfactory estimation of the death rates based on mortality data but using an age-dependent function whose parameters are adjusted from the crude rates obtainable directly from the data. This paper proposes a revision of the most commonly used parametric models and compares the result obtained with each of them when they are applied to the mortality data for the Valencia Region. As a result of the comparison, we conclude...
H. ToivoNEN, H. MANNILA, M. SALMENKIVI and K.-P. LAAKSO (1999)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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