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In search of the best zero coupon yield curve for Nairobi securities exchange : interpolation methods vs. parametric models
Muthoni, Lucy - In: Journal of mathematical finance 5 (2015) 4, pp. 360-376
Persistent link: https://www.econbiz.de/10011439125
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Construction of nominal yield curve for Nairobi securities exchange : an improvement on monotone preserving r(t)t interpolation method
Muthoni, Lucy; Onyango, Silas; Ongati, Omolo - In: Journal of mathematical finance 5 (2015) 4, pp. 377-392
Persistent link: https://www.econbiz.de/10011439128
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A new database of global economic indicators
Grossman, Valerie; Mack, Adrienne; Martínez-García, … - In: Journal of economic and social measurement 39 (2014) 3, pp. 163-197
Persistent link: https://www.econbiz.de/10010491913
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Order relations for concave interpolation methods
Hasenbein, John J. - In: Operations research letters 44 (2016) 6, pp. 823-825
Persistent link: https://www.econbiz.de/10011622405
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Diagnosing osteoporosis: A new perspective on estimating bone density
Cassia-Moura, R.; Ramos, A.D.; Sousa, C.S.; Nascimento, … - In: Physica A: Statistical Mechanics and its Applications 381 (2007) C, pp. 273-284
-ray absorptiometry, using local volumetric distance spline interpolants. Interpolating the values means the construction of a function F …
Persistent link: https://www.econbiz.de/10011057125
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The influence of noise on net revenue and values of investment properties: Evidence from Switzerland
Fahrländer, Stefan Sebastian; Gerfin, Michael; Lehner, … - 2015
In this study we use hedonic models to measure the influence of noise nuisance on rents, costs and values of investment properties in Switzerland. Countrywide data is provided by institutional real estate investors. The effects are measured for aircraft noise, road traffic noise and railroad...
Persistent link: https://www.econbiz.de/10011420626
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Interpolation and backdating with a large information set
Angelini, Elena; Henry, Jérôme; Marcellino, Massimiliano - 2003
Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...
Persistent link: https://www.econbiz.de/10011604298
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An Introduction to Nonparametric Regression for Labor Economists
Henderson, Daniel J.; Souto, Anne-Charlotte - 2018
In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in …
Persistent link: https://www.econbiz.de/10011984474
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The Implementation, in Matlab, of Three Digital Image Processing Algorithms to Evaluate the Change of Parameters of Two Consecutive Images
Lesha, Virtyt - 2016
. The results generated will be given through statistical conclusions of spline interpolation fitting. Finally, the …
Persistent link: https://www.econbiz.de/10011920365
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Estimating the confidence interval of the regression coefficient of the blood sugar model through a multivariable linear spline with known variance
Islamiyati, Anna; Kalondeng, Anisa; Sari, Ummi - In: Statistics in Transition new series (SiTns) 23 (2022) 1, pp. 201-212
intervals in a truncated spline model for type 2 diabetes data. We use a non-parametric regression model through a multi …-variable spline linear estimator. The use of the model results from the irregularity of the data, so it does not form a parametric … found optimal knot points is one. This value is the interval for multivariable spline regression coefficients that can occur …
Persistent link: https://www.econbiz.de/10013444128