Search Results - subject:"spline function"

Predicting the subscribers of fixed-line and cellular phone in Japan by a novel prediction model

Li, Guo-dong; Masuda, Shiro; Nagai, Masatake - In: Technological forecasting & social change : an … 81 (2014), pp. 321-330

Persistent link: https://www.econbiz.de/10010403121

Compensating the Poor out of Traditional Healing in Cameroon: A Nested Logit Analysis

Kamgnia, D.B. - In: International Journal of Applied Econometrics and … 3 (2006) 2, pp. 55-66

in terms of a Spline function of consumption. Overall, the majority of the determinants had the expected sign with a …

Persistent link: https://www.econbiz.de/10005062945

COMPENSATING THE POOR OUT OF TRADITIONAL HEALING IN CAMEROON: A NESTED LOGIT ANALYSIS

KAMGNIA, Dia B. - In: Applied Econometrics and International Development 7 (2007) 2, pp. 163-170

, accounting for the poor’s decision in terms of a Spline function of consumption. Overall, the majority of the determinants had …

Persistent link: https://www.econbiz.de/10005406756

Univariate cubic L<Subscript>1</Subscript> splines – A geometric programming approach

Cheng, Hao; Fang, Shu-Cherng; Lavery, John E. - In: Mathematical Methods of Operations Research 56 (2002) 2, pp. 197-229

Univariate cubic L <Subscript>1</Subscript> splines provide C <Superscript>1</Superscript>-smooth, shape-preserving interpolation of arbitrary data, including data with abrupt changes in spacing and magnitude. The minimization principle for univariate cubic L <Subscript>1</Subscript> splines results in a nondifferentiable convex optimization problem. In order to...</subscript></superscript></subscript>

Persistent link: https://www.econbiz.de/10010999796

Univariate cubic L 1 splines – A geometric programming approach

Cheng, Hao; Fang, Shu-Cherng; Lavery, John E. - In: Computational Statistics 56 (2002) 2, pp. 197-229

Univariate cubic L 1 splines provide C 1 -smooth, shape-preserving interpolation of arbitrary data, including data with abrupt changes in spacing and magnitude. The minimization principle for univariate cubic L 1 splines results in a nondifferentiable convex optimization problem. In order to...

Persistent link: https://www.econbiz.de/10010847774

Estimating an unobserved component of a serial response time model

Bloxom, Bruce - In: Psychometrika 44 (1979) 4, pp. 473-484

Persistent link: https://www.econbiz.de/10005603480