Nonlinear Models Statistics
Mostrando 1-12 de 12 artigos, teses e dissertações.
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1. FITTING AND CALIBRATING A MIXED-EFFECTS SEGMENTED TAPER MODEL FOR BRUTIAN PINE
ABSTRACT Taper models are one of several necessary tools in modern forest inventory, giving information on diameter at any point along the tree stem and this information can also be used to estimate stem volume. In this study, we used nonlinear mixed-effects (NLME) modeling approach to minimize existing statistical problems in constructing taper equations. A
CERNE. Publicado em: 2020-12
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2. INITIAL GROWTH PERFORMANCE OF VALUABLE TIMBER SPECIES IN SOUTHERN BRAZIL: Araucaria Angustifolia, Balfourodendron Riedelianum, AND Parapiptadenia Rígida
RESUMO Foi avaliado o crescimento inicial de três espécies madeireiras nativas do Brasil - Araucaria angustifolia, Balfourodendron riedelianum e Parapiptadenia rigida - em Dois Vizinhos - PR, Brasil, usando quatro modelos matemáticos não lineares (Gompertz, Logistic, Logistic 4P e Chapman-Richards). Ao longo dos quatro anos iniciais após plantio, inform
Rev. Árvore. Publicado em: 28/11/2019
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3. Dominant Height Growth in Tectona grandis Plantations in Mato Grosso, Brazil
ABSTRACT Tectona grandis (teak) plantations have gained increased interest in recent decades in Brazil, bringing about the need for acquiring information regarding the growth and productive potential. The present work aims to evaluate the growth of dominant height in teak at various locations in the state of Mato Grosso, midwest Brazil. For this purpose, six
Floresta Ambient.. Publicado em: 29/08/2019
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4. Using Common Features to Understand the Behavior of Metal-Commodity Prices and Forecast them at Different Horizons
The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual horizons. The data to be used consists of metal-commodity prices in a monthly frequency from 1957 to 2012 from the International Financial Statistics of the IMF on individual metal series. We will also employ the (relative
Escola de Pós-Graduação em Economia da FGV. Publicado em: 03/01/2013
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5. Modelos não lineares sob a classe de distribuições misturas da escala skew-normal / Nonlinear models based on scale mixtures skew-normal distributions
Neste trabalho estudamos alguns aspectos de estimação e diagnóstico de influência global e local de modelos não lineares sob a classe de distribuição misturas da escala skew-normal, baseado na metodologia proposta por Cook (1986) e Poon &Poon (1999). Os modelos não lineares heteroscedásticos também são discutidos. Esta nova classe de modelos const
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 08/07/2010
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6. Adjusted likelihood ratio statistics in beta regression models / Ajustes para o teste da razão de verossimilhanças em modelos de regressão beta
We consider the issue of performing accurate small-sample likelihood-based inference in beta regression models, which are useful for modeling continuous proportions that are affected by independent variables. We derive Skovgaards (Scandinavian Journal of Statistics 28 (2001) 3-32) adjusted likelihood ratio statistics in this class of models. We show that the
Publicado em: 2009
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7. CONSTRUCTIVE REGRESSION ON IMPLICITY DEFINED REGIONS / REGRESSÃO CONSTRUTIVA POR REGIÕES DEFINIDAS IMPLICITAMENTE
Os métodos de regressão baseados em árvores são modelos não lineares e não paramétricos, estudados desde a década de 80, quando houve a criação do algoritmo CART. Até hoje há muita pesquisa nessa área e cada vez mais novos métodos são apresentados com o objetivo de aperfeiçoar os modelos já existentes. Esse trabalho propõe um novo método c
Publicado em: 2009
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8. Proposal of blind source separation methods for convolutive and nonlinear mixtures / Proposta de metodos de separação cega de fontes para misturas convolutivas e não-lineares
The problem of blind source separation (BSS) has attracted the attention of agrowing number of researchers, mostly due to its potential applications in a significant number of different areas. The objective of the present work is to propose new methods to solve the problem of BSS in the cases of convolutive mixtures and nonlinear mixtures. For the first case
Publicado em: 2007
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9. Verification by Monte Carlo simulation of the efficiency of application of the likelyhood ratio test for identity of non-linear models / VerificaÃÃo por simulaÃÃo monte carlo da eficiÃncia da aplicaÃÃo do teste de razÃo de verossimilhanÃa para identidade de modelos nÃo lineares
An alternative to compare non-linear models is given by means of the test of identity of models. The statistics utilized normally is given by means of the likelihood ratio. Aiming to evaluate by means of the Monte Carlo simulation the performance of this test, by the aid of the different sample models, number of equations, robustness and different models, th
Publicado em: 2006
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10. Modelos de prediÃÃo linear para anÃlise de sinais eletroencefalogrÃficos (EEG) e de matrizes multieletrodo (MEA) / Linear-prediction models for electroencephalographic (EEG) and multielectrode-array (MEA) signal analysis
This work establishes models of neurophysiological signals, which are composed of spontaneous activity measurements taken by means of multielectrode arrays (MEAs) applied on in vitro cell cultures; as well as of neurological signals based on electroencephalography. These models suppose that MEAs are employed as neuroprostheses applied for detection and forec
Publicado em: 2006
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11. Previsão e análise sobre as regiões sudeste e sul do Brasil utilizando redes neurais artificiais / Forecast and analysis of rainfall over south and southeastern Brazil using artificial neural network
This study uses an Artificial Neural Network (ANN) technique to establish a non-linear relationship between the large scale atmospheric circulation and local surface rainfall. The method involves the use of statistical downscaling applied to outputs from Eta model. In this sense, prognostic equations were developed for 18 locations using the ANN. This method
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 12/12/2003
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12. Forecast and analysis of rainfall over south and southeastern Brazil using artificial neural network / Previsão e análise sobre as regiões sudeste e sul do Brasil utilizando redes neurais artificiais
This study uses an Artificial Neural Network (ANN) technique to establish a non-linear relationship between the large scale atmospheric circulation and local surface rainfall. The method involves the use of statistical downscaling applied to outputs from Eta model. In this sense, prognostic equations were developed for 18 locations using the ANN. This method
Publicado em: 2003