parametric derivative
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Validation of reconstructed component spectra from non-parametric derivative envelopes: comparison with component lineshapes from parametric derivative estimations with the solved quantification problem

Journal of Mathematical Chemistry ◽

10.1007/s10910-018-0906-5 ◽

2018 ◽

Vol 56 (8) ◽

pp. 2537-2578 ◽

Author(s):

Dževad Belkić ◽

Karen Belkić

Keyword(s):

Parametric Derivative ◽

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Hierarchical clustering of time series data with parametric derivative dynamic time warping

Expert Systems with Applications ◽

10.1016/j.eswa.2016.06.012 ◽

2016 ◽

Vol 62 ◽

pp. 116-130 ◽

Author(s):

Maciej Łuczak

Keyword(s):

Time Series ◽

Hierarchical Clustering ◽

Dynamic Time Warping ◽

Time Series Data ◽

Series Data ◽

Time Warping ◽

Parametric Derivative ◽

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Two Efficient Bi-Parametric Derivative Free With Memory Methods for Finding Simple Roots Nonlinear Equations

Journal of Advances in Applied Mathematics ◽

10.22606/jaam.2016.14001 ◽

2016 ◽

Vol 1 (4) ◽

Author(s):

J. P. Jaiswal ◽

Keyword(s):

Nonlinear Equations ◽

Derivative Free ◽

Parametric Derivative ◽

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Construction of Tri-parametric derivative free fourth order with and without memory iterative method

The Journal of Nonlinear Sciences and Applications ◽

10.22436/jnsa.009.04.01 ◽

2016 ◽

Vol 09 (04) ◽

pp. 1410-1423 ◽

Author(s):

F. Zafar ◽

N. Yasmin ◽

M. A. Kutbi ◽

M. Zeshan

Keyword(s):

Iterative Method ◽

Fourth Order ◽

Derivative Free ◽

Parametric Derivative

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Multivariate time series classification with parametric derivative dynamic time warping

Expert Systems with Applications ◽

10.1016/j.eswa.2014.11.007 ◽

2015 ◽

Vol 42 (5) ◽

pp. 2305-2312 ◽

Author(s):

Tomasz Górecki ◽

Maciej Łuczak

Keyword(s):

Time Series ◽

Dynamic Time Warping ◽

Multivariate Time Series ◽

Time Series Classification ◽

Time Warping ◽

Parametric Derivative ◽

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Non parametric derivative estimation with confidence bands

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2013.830749 ◽

2013 ◽

Vol 45 (2) ◽

pp. 277-290 ◽

Author(s):

Qiongxia Song

Keyword(s):

Confidence Bands ◽

Derivative Estimation ◽

Parametric Derivative ◽

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Neural Networks for Bandwidth Selection in Non-Parametric Derivative Estimation

Mathematical and Statistical Methods in Insurance and Finance ◽

10.1007/978-88-470-0704-8_16 ◽

2007 ◽

pp. 121-129

Author(s):

Francesco Giordano ◽

Maria Lucia Parrella

Keyword(s):

Neural Networks ◽

Bandwidth Selection ◽

Derivative Estimation ◽

Parametric Derivative ◽

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Statistical fluctuations of the parametric derivative of the transmission and reflection coefficients in absorbing chaotic cavities

Physical Review E ◽

10.1103/physreve.72.036202 ◽

2005 ◽

Vol 72 (3) ◽

Author(s):

M. Martínez-Mares

Keyword(s):

Reflection Coefficients ◽

Statistical Fluctuations ◽

Transmission And Reflection Coefficients ◽

Parametric Derivative ◽

Transmission And Reflection

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ON THE DENJOY-PERRON-BOCHNER INTEGRAL

Tamkang Journal of Mathematics ◽

10.5556/j.tkjm.25.1994.4457 ◽

1994 ◽

Vol 25 (4) ◽

pp. 295-300

Author(s):

STANISLAW SIUDUT

Keyword(s):

Bochner Integral ◽

Parametric Derivative ◽

Approximate Derivative ◽

Perron Integral ◽

Descriptive Definition

The notion of Denjoy integrals of abstract functions was first intro- duced by A. Alexiewicz [1]. His descriptive definitions are based upon a concept of the approximate derivative. In this paper we present another descriptive definition for the Denjoy-Perron integral of abstract functions - via the parametric derivative of Tolstov [8]. Some properties of this integral are examined.

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