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Showing 1 to 20 of 24 for “"Box Cox"”.
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Essays on data transformation and regression analysis
… que indexam as transformações de Manly e Box-Cox, usadas para transformar a variável resposta do modelo de regressão linear, e também testes de hipóteses. A tese é composta por quatro capítulos. No Capítulo 2, desenvolvemos dois testes escore para a transformação de Box-Cox e dois testes …
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UMVU estimation of phase and group delay with small samples
… theory is circumvented by use of the Box-Cox power transformation on the observed sample phase function. Once transformed, it is assumed that the sample phase is approximately normally distributed and the relationship between phase and frequency is modelled by a simple linear …
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Three Essays on Robust Estimation of Key Factors Underlying the Changes to the U.S. Income Distribution
… estimated by using the Chamberlain's two stage Box-Cox quantile regression approach. One of the main contributions of this chapter is that it relaxes the linearity assumption of the conditional quantile function to estimate the counterfactual wage distribution function consistently. This chapter …
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Time Series Analysis and Indicators of Economic Activity (Forecasting)
… identified by employing information criteria and Box-Cox transformation. Furthermore, bivariate time series models with the index of leading indicators as the input variable are used to forecast a coincident indicator of interest. The weights assigned to the elements of the index of leading …
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Quantile regression and the duration of unemployment
… models are generalized using two-parameter Box-Cox transformation to relax the conventional linear specification of functional form, and the quantile regression estimator of the parameters of the transformed and censored regression models is presented. Both the $N\sp{1/2}$-consistency and …
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A Market-Based Approach for Valuing Ecosystem Services on Coastal Properties
… the analysis. Based on theory and results from a Box-Cox model, the log-linear functional form was the best fit for the data. Marginal implicit prices of services from wetland ecosystems were estimated using proximity variables. Most wetland proximity variables were statistically significant and …
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Modelo de previsão: uma aplicação a uma indústria de calçado
… dos modelos, foram aplicadas a transformação Box-Cox e a diferenciação sazonal. Os resultados demonstraram que a combinação de técnicas aumenta significativamente a precisão preditiva e a robustez dos modelos para séries temporais. Foram estudados modelos de previsão para 5 artigos de calçado …
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Risk assessment tool for diabetic neuropathy.
… and analysed using summarised patient data. Box-Cox regression was used with the response variable (VPT) and a set of clinical variables as potential predictors. Significant predictors were: age, height, weight, urine albumin to creatinine ratio (ACR), HbA1c, cholesterol and duration of …
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Constructing growth reference curves for a cohort of South African children
… models. The preferred approach was to use the Box-Cox Power Exponential (BCPE) distribution with curve smoothing by cubic splines. Non-parametric quantile regression served as a confirmation that the chosen parametric distributions were appropriate for the data. A comparison of the derived …
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Joint probability distribution of rainfall intensity and duration
… The first joint probability approach employs Box-Cox and modulus transformations to transform original data to near bivariate normality. The second method does not require such a transformation. Instead, it uses the closed-form bivariate Burr III cumulative distribution to fit the data. …
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Patterns of tobacco consumption in Mexico – current perspective
… The model has the feature of applying the Box-Cox transformation to the dependent variable in order to address the skew distribution seen in data. It also includes a non-zero correlation coefficient to account for the temporal linkage of consumption. The data used for estimation comes from …
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Forecasting Model for High-Speed Rail in the United States
… classical four step process. A variation of the Box-Cox logit model is proposed to best capture the characteristic behavior of rail demand in US. The utility equation uses travel time and travel cost as the decision variables for each model. Additionally, a mode specific geographic constant is …
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Development of a High-Speed Rail Model to Study Current and Future High-Speed Rail Corridors in the United States
… In addition to the C-logit model, a Box-Cox transformation is applied to both variables in the utility equation. This transformation removes some of the linear assumptions of the logit model and thus improves the performance of the model. The calibration results are implemented in …
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Semi-parametric models for response times and response accuracy in computerized testing
… by van der Linden (2007) with the well-known Cox proportional hazard (PH) model in survival analysis. The PH model is comprised of two parts: the non-parametric baseline hazard and the parametric form of the examinee's latent speed. This model acts on the hazard rate, the instantaneous rate at …
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Modelamiento del fenómeno apelotonamiento de buses
… el fenómeno. Se aplicó una transformación de Box-Cox a los indicadores continuo y discreto para obtener variables con distribución de probabilidad normal y así generar estimaciones más certeras de los modelos, dicha transformación es una función inversa de los indicadores, por lo que las …
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Essays on Corporate Default Prediction
… corporate default risk predictions. A class of Box-Cox transformations and logarithmic transformations are naturally adopted. The proposed transformation model family is shown to include the popular Shumway’s model and grouped relative risk model. We show that a transformation parameter …
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Essays on testing spatial models
… The added nonlinearity is introduced through the Box-Cox (BC) transformation. This model encompasses the linear and log linear form with BC parameter being 1 and 0, respectively. First, we derive various combinations of LM tests for testing linear or log linear functional form and the presence of …
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Inspección automatizada de superficies homogéneas mediante visión artificial con aportaciones al reconocimiento de formas
… paramétrico, basado en transformaciones Box Cox. Mientras para los clasificadores paramétricos se ha conseguido obtener las expresiones analíticas del error y el sesgo, este último para el caso unidimensional, bajo las suposiciones de dos poblaciones normales enfrentadas. Al finalizar la …
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Some aspects of fitting multinomial models in a GLM framework
… chapter 4. We concentrate on use of so - called Box - Cox links. Interval estimates for different parameters in these user - defined ‘own’ link functions are also given in section 4.6, although, in the first three chapters the main concentration is on the logit link functions. Chapter 5 gives a …
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Three essays on housing economics
… volatility model for squared returns using a Box-Cox transformation for simultaneously testing space-varying volatility and its functional form. The maximum likelihood (ML) method is used to estimate this model and Monte Carlo simulations are conducted to investigate the finite sample …
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