Properties of the Box–Cox transformation for pattern classification

Bicego, Manuele; Baldo, Sisto

doi:10.1016/j.neucom.2016.08.081

Cited by 37 publications

(29 citation statements)

References 23 publications

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“…Nonetheless, there is no concrete evidence that one functional form is better than the other forms [71]. Henceforth, some researchers believe that the method of Box-Cox transformation allows investigators to choose the proper function of the hedonic regression model based on the best fit for a particular data set [78][79][80]. Davidson and MacKinnon (1993) explained that the complicated transformation processes could generate more random errors [81].…”

Section: The Hedonic Methods Model Developmentmentioning

confidence: 99%

The Effect of Sustainable Urban Planning and Slum Disamenity on The Value of Neighboring Residential Property: Application of The Hedonic Pricing Model in Rent Price Appraisal

et al. 2019

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This study is the first to perform a focalized analysis on city development, sustainable urban planning, and the negative impact of slum area disamenity on property valuation in suburban and posh areas of the Islamabad region, Pakistan. Slums exist in almost every country in the world. However, in the process of urbanization and city development, researchers have focused merely on the crumbled infrastructure, crimes, and other social problems associated with slums. Studies have covered the adverse effects of these factors on property value, although this unmatched study is the first to examine the negative impact of slum proximity on the valuation of properties in the surrounding areas and on the rental value of houses located in Islamabad. The survey method is applied to obtain feedback from inhabitants, and the study incorporated the hedonic price model to assess rental values within a range of one kilometer from selected slum areas. The findings revealed that slum neighborhoods negatively impact sustainable house rental values, as compared with the rental values of houses located far away. Rents became higher as the distance from the slums increased. The results showed that having slums in the vicinity caused a decline of almost 10% in rent. However, the rental value of a similar house unit, located 500 meters away, was found to be almost 10% higher. In the semi-log model, house rental values increased by approximately 12.40% at a distance of one kilometer from slums, and vice versa. This study will use residents’ feedback to help government officials and policymakers to resolve slum issues, which is essential for maintaining sustainable development and adequate city planning. This study sample’s findings are not generalizable to all slums, as the results are specific to this region.

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Section: The Hedonic Methods Model Developmentmentioning

confidence: 99%

The Effect of Sustainable Urban Planning and Slum Disamenity on The Value of Neighboring Residential Property: Application of The Hedonic Pricing Model in Rent Price Appraisal

et al. 2019

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“…El método propuesto es considerado como el pre-procesamiento que se debe aplicar a las series de tiempo multivariadas. Las series de tiempo de absorbancia UV-Vis analizadas no son estacionarias y, como varios trabajos lo indican, estas deben ser sometidas a procesos de transformación con el fin de estabilizarlas en varianza y obtener una distribución normal tal como lo indican [24] y [26]. En estos trabajos los autores pre-procesan diferentes series de tiempo (financieras, imágenes, enfermedades, etc.)…”

Section: Resultados Y Discusiónunclassified

“…Existen alternativas para obtener elóptimo valor de λ: los autores del trabajo [26] indican que para predicción en series de tiempo de tipo financieras el mejor valor es 0,5 y que para el caso lognormal el valor a utilizar es 0. Cuando las series de tiempo son multivariadas es necesario realizar la reducción de la dimensionalidad con el fin de procesar más rápido las series de tiempo: el trabajo presentado por [24] utiliza imágenes con resolución de 64x64 y aplica PCA para reducir la dimensionalidad a 158 componentes capturando una variabilidad del 99 %. Respecto al análisis espectral, los autores del trabajo [31] aplican el análisis espectral a sistemas de comunicación basados en OFDM.…”

Section: Resultados Y Discusiónunclassified

“…George E. P. Box y David Cox en 1964, propusieron aplicar transformaciones de potencias [23], [24], como se indica en la ecuación 1.…”

Section: Series De Tiempo Estacionarias Y No Estacionariasunclassified

“…Este trabajo propone analizar los espectros de absorbancia UV-Vis que son registrados por los sensores instalados en diferentes sistemas utilizados para el saneamiento urbano, por medio de la transformación de Box-Cox para reducir la varianza y eliminar la tendencia [23], [24], también realizar la estimación espectral de series de temporales y poder interpretar el comportamiento que puede estar oculto [25], [26]. El análisis propuesto se aplicó a tres diferentes series de tiempo multivariadas de espectros UV-Vis registrados en tres diferentes sitios de estudio: (i) entrada PTAR El-Salitre (Bogotá); (ii) EBG (Bogotá); (iii) entrada PTAR San-Fernando (Itagüí).…”

Section: Introductionunclassified

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Estimación Espectral de Series de Tiempo de Absorbancia Uv-Vis para el Monitoreo de Calidad de Aguas

Plazas-Nossa

Angulo

Torres

2017

Ing.

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Context: Signals recorded as multivariate time series by UV-Vis absorbance captors installed in urban sewer systems, can be non-stationary, yielding complications in the analysis of water quality monitoring. This work proposes to perform spectral estimation using the Box-Cox transformation and differentiation in order to obtain stationary multivariate time series in a wide sense. Additionally, Principal Component Analysis (PCA) is applied to reduce their dimensionality. Results: Absorbance time series dimensionality reduction using PCA, resulted in 6, 8 and 7 principal components for each study site respectively, altogether explaining more than 97 % of their variability. Values of differences below 30 % for the UV range were obtained for the three study sites, while for the visible range the maximum differences obtained were: (i) 35 % for El-Salitre WWTP; (ii) 61 % for GPS; and (iii) 75 % for San-Fernando WWTP. Conclusions:The Box-Cox transformation and the differentiation process applied to the UV-Vis absorbance time series for the study sites (El-Salitre, GPS and San-Fernando), allowed to reduce variance and to eliminate tendency of the time series. A pre-processing of UV-Vis absorbance time series is recommended to detect and remove outliers and then apply the proposed process for spectral estimation.

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Relation, Transition and Comparison Between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier

Orozco-Alzate

Baldo

Bicego

2019

Lecture Notes in Computer Science

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Properties of the Box–Cox transformation for pattern classification

Cited by 37 publications

References 23 publications

The Effect of Sustainable Urban Planning and Slum Disamenity on The Value of Neighboring Residential Property: Application of The Hedonic Pricing Model in Rent Price Appraisal

The Effect of Sustainable Urban Planning and Slum Disamenity on The Value of Neighboring Residential Property: Application of The Hedonic Pricing Model in Rent Price Appraisal

Estimación Espectral de Series de Tiempo de Absorbancia Uv-Vis para el Monitoreo de Calidad de Aguas

Relation, Transition and Comparison Between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier

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