• East Asian mathematical journal
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• 제15권1호
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• pp.1-9
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• 1999

• Journal of applied mathematics & informatics
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• 제30권3_4호
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• pp.445-454
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• 2012

Very general multivariate right Caputo fractional Ostrowski inequalities are presented. Some of them are proved to be sharp and attained. Estimates are with respect to ${\parallel}{\cdot}{\parallel}_{\infty}$.

• 대한수학회보
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• 제39권4호
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• pp.543-559
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• 2002

Some inequalities and approximations for the finite filbert transform by the use of Ostrowski type inequalities for absolutely continuous functions are given.

• East Asian mathematical journal
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• 제19권2호
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• pp.221-232
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• 2003

An identity for n-time differentiable functions of a real variable in terms of multiple integrals and applications for Ostrowski type inequalities are given.

• 대한수학회보
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• 제48권1호
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• pp.95-104
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• 2011

We improve some inequalities of Ostrowski-like type and further generalize them.

• 대한수학회보
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• 제45권3호
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• pp.477-483
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• 2008

In this paper, by introducing parameter r>1, new weighted Ostrowski-Gruss-Cebysev type inequalities for 1/p+11/q=1-1/r are established.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제2권2호
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• pp.49-56
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• 1998

In this paper, by the use of an Ostrowski type integral inequality for double integrals, we establish an upper bound for the estimation error variance of a continuous stream with stationary variogram.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제6권1호
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• pp.17-31
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• 2002

Using some techniques developed by Dragomir and Wang in the recent paper [2] in connection to Ostrowski integral inequality, we point out some approximation results for the Henkel's transform of absolutely continuous mapping.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제4권1호
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• pp.93-100
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• 2000

This paper deals with some fundamental matters pertaining to estimation of critical quantities associated with continuous processes which are frequently related to the quality rating of the product. Specifically, it examines bounds on estimation and bounds on the estimation error variance. It draws on recent results from the theory of mathematical inequalities and their applications.