Interpolation Imputation Technique

Known as: INTERP, Interpolation 
The substitution of missing data with an estimated value that falls between known data points.
National Institutes of Health

Papers overview

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Highly Cited
2007
Highly Cited
2007
temperature and precipitation for 1950-2006. M. R. Haylock, N. Hofstra, A. M. G. Klein Tank, E. J. Klok, P.D. Jones , M. New a… (More)
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Highly Cited
2006
Highly Cited
2006
Diffusion tensor imaging (DT-MRI or DTI) is an emerging imaging modality whose importance has been growing considerably. However… (More)
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Highly Cited
2005
Highly Cited
2005
We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s… (More)
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Highly Cited
2004
Highly Cited
2004
A general binomial mixture model is proposed for the species accumulation function based on presence–absence (incidence) of… (More)
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Highly Cited
2003
Highly Cited
2001
Highly Cited
2001
This paper proposes an edge-directed interpolation algorithm for natural images. The basic idea is to first estimate local… (More)
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Highly Cited
1987
Highly Cited
1987
We continue the construction and the analysis of essentially nonoscillatory shock capturing methods for the approximation of… (More)
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Highly Cited
1986
Highly Cited
1986
Among other things, we prove that multiquadric surface interpolation is always solvable, thereby settling a conjecture of R… (More)
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Highly Cited
1981
Highly Cited
1981
Absfrucf-Cubic convolution interpolation is a new technique for resampling discrete data. It has a number of desirable features… (More)
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Highly Cited
1981
Highly Cited
1981
Abstruct-A class of digital h e a r phase fiiite impulse response (FIR) filters for decimation (sampling rate decrease) and… (More)
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