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Forecasting foreign exchange rate movements with k-Nearest-Neighbor, ridge regression and feed-forward neural networks

Fičura, Milan - 2019

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Using MD&A to improve earnings forecasts

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Low-dimensional decomposition, smoothing and forecasting of sparse functional data

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STR : a seasonal-trend decomposition procedure based on regression

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Application of bivariate negative binomial regression model in analysing insurance count data

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Forecasting intraday S&P 500 index returns : a functional time series approach

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Métodos cuantitativos para un modelo de regresión lineal con multicolinealidad : aplicación a rendimientos de letras del tesoro

Gómez, Román Salmerón; Martínez, Eduardo Rodríguez - In: Revista de métodos cuantitativos para la economía y … 24 (2017), pp. 169-189

It is known that, when in the linear regression model there is a high degree of multicollinearity, the results obtained by using the Ordinary Least Squares (OLS) method are unstable. As a solution to this situation, in this paper we present the raised method, the ridge method and the orthogonal...

Persistent link: https://www.econbiz.de/10011845497