The evolution of nonlinear dynamics in political science and public administration: Methods, modeling and momentum.
Kiel, L.Douglas (2001)
Discrete Dynamics in Nature and Society
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Displaying similar documents to “Predicting the Cloud Patterns for the Boreal Summer Intraseasonal Oscillation Through a Low-Order Stochastic Model”
The evolution of nonlinear dynamics in political science and public administration: Methods, modeling and momentum.
Empirical mode decomposition analysis of climate changes with special reference to rainfall data.
Molla, Md. Khademul Islam, Rahman, M. Sayedur, Sumi, Akimasa, Banik, Pabitra (2006)
Discrete Dynamics in Nature and Society
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Modeling nonlinear dynamics and chaos: a review.
Aguirre, Luis A., Letellier, Christophe (2009)
Mathematical Problems in Engineering
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A tutorial on nonlinear time-series data mining in engineering asset health and reliability prediction: concepts, models, and algorithms.
Dong, Ming (2010)
Mathematical Problems in Engineering
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Thermodynamics of DNA microarrays
Enrico Carlon (2008)
Banach Center Publications
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DNA microarrays have been widely used in molecular biology laboratories. The main current application of these devices is the determination of the gene expression level for thousands of genes simultaneously. Here we review a recently introduced physical model for hybridization (i.e. the binding of complementary DNA strands) in Affymetrix arrays and compare it to experimental results. The experimental data follow rather well the microscopic model and the approach offers several advantages...
Incomplete time series prediction using max-margin classification of data with absent features.
Zhaowei, Shang, Lingfeng, Zhang, Shangjun, Ma, Bin, Fang, Taiping, Zhang (2010)
Mathematical Problems in Engineering
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Partial least-squares: Theoretical isssues and engineering applications in signal processing.
Ham, Frederic M., Kostanic, Ivica (1996)
Mathematical Problems in Engineering
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Spatial modelling and the statistical analysis of spatial data in human geography
Robert Haining (1987)
Mathématiques et Sciences Humaines
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A data-based damping modeling technique.
Zhang, William, Lee, S.G. (1996)
Mathematical Problems in Engineering
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Pattern-mixture models
Geert Molenberghs, Herbert Thijs, Bart Michiels, Geert Verbeke, Michael G. Kenward (2004)
Journal de la société française de statistique
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An evaluation of the efficiency of plant protection products via nonlinear statistical methods – a simulation study
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...
On the logical development of statistical models.
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. ...