Application of the Polynomial Maximization Method for Estimation Parameters in the Polynomial Regression with Non-Gaussian Residuals

Advances in Intelligent Systems and Computing - Automation 2021: Recent Achievements in Automation, Robotics and Measurement Techniques ◽

10.1007/978-3-030-74893-7_36 ◽

2021 ◽

pp. 402-415

Author(s):

Serhii Zabolotnii ◽

Oleksandr Tkachenko ◽

Zygmunt Lech Warsza

Keyword(s):

Polynomial Regression ◽

Non Gaussian ◽

Estimation Parameters

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Comparing Neighborhood Effects Across Tasks Using Repeated-Measures Polynomial Regression

PsycEXTRA Dataset ◽

10.1037/e413782005-016 ◽

1999 ◽

Author(s):

Virginia L. Replogle ◽

Neal F. Johnson

Keyword(s):

Neighborhood Effects ◽

Repeated Measures ◽

Polynomial Regression

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Implicit Association tests: A case for polynomial regression

PsycEXTRA Dataset ◽

10.1037/e518422013-534 ◽

2009 ◽

Author(s):

Max McDaniel

Keyword(s):

Polynomial Regression ◽

Implicit Association ◽

Association Tests

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Alternatives to Difference Scores: Polynomial Regression and Response Surface Methodology

PsycEXTRA Dataset ◽

10.1037/e576892011-020 ◽

2003 ◽

Author(s):

Jeffrey R. Edwards

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Polynomial Regression ◽

Difference Scores

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Closure to “Gene-Expression Programming, Evolutionary Polynomial Regression, and Model Tree to Evaluate Local Scour Depth at Culvert Outlets” by Mohammad Najafzadeh and Ali Reza Kargar

Journal of Pipeline Systems Engineering and Practice ◽

10.1061/(asce)ps.1949-1204.0000533 ◽

2021 ◽

Vol 12 (2) ◽

pp. 07021002

Author(s):

Mohammad Najafzadeh ◽

Ali Reza Kargar

Keyword(s):

Gene Expression ◽

Polynomial Regression ◽

Gene Expression Programming ◽

Local Scour ◽

Scour Depth ◽

Evolutionary Polynomial Regression ◽

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Discussion of “Gene-Expression Programming, Evolutionary Polynomial Regression, and Model Tree to Evaluate Local Scour Depth at Culvert Outlets” by Mohammad Najafzadeh and Ali Reza Kargar

Journal of Pipeline Systems Engineering and Practice ◽

10.1061/(asce)ps.1949-1204.0000532 ◽

2021 ◽

Vol 12 (2) ◽

pp. 07021001

Author(s):

Manish Pandey ◽

H. Md Azamathulla

Keyword(s):

Gene Expression ◽

Polynomial Regression ◽

Gene Expression Programming ◽

Local Scour ◽

Scour Depth ◽

Evolutionary Polynomial Regression ◽

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Weakly Non-Gaussian Model of Wave Height Distribution for Nonlinear Random Waves

Coastal Engineering 1996 ◽

10.1061/9780784402429.067 ◽

1997 ◽

Author(s):

Nobuhito Mori ◽

Takashi Yasuda

Keyword(s):

Wave Height ◽

Gaussian Model ◽

Height Distribution ◽

Random Waves ◽

Wave Height Distribution ◽

Nonlinear Random Waves ◽

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Derivation of Spherical Overbounding for Quadratic Integrity Monitors with Non Gaussian Random Inputs

Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017) ◽

10.33012/2017.15153 ◽

2017 ◽

Author(s):

Jason H. Rife

Keyword(s):

Random Inputs ◽

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NONLINEAR ESTIMATION OF SIGNAL PARAMETERS UNDER THE INFLUENCE OF NARROW-BAND NON-GAUSSIAN NOISE

Автометрия ◽

10.15372/aut20190111 ◽

2019 ◽

Keyword(s):

Gaussian Noise ◽

Narrow Band ◽

Nonlinear Estimation ◽

Signal Parameters ◽

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Reading a Pulsed, Fluctuating-Amplitude Radio Signal in Non-Gaussian Noise at Non-Coherent Reception

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v65.i5.40 ◽

2006 ◽

Vol 65 (5) ◽

pp. 419-425

Author(s):

S. S. Martynenko

Keyword(s):

Gaussian Noise ◽

Radio Signal ◽

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STATEMENT OF THE PROBLEM ON SYNTHESIS OF OPTIMAL EVALUATION OF SIGNAL PARAMETERS IN NON-GAUSSIAN NOISE

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v71.i17.20 ◽

2012 ◽

Vol 71 (17) ◽

pp. 1541-1555

Author(s):

V. A. Baranov ◽

S. V. Baranov ◽

A. V. Nozdrachev ◽

A. A. Rogov

Keyword(s):

Gaussian Noise ◽

Signal Parameters ◽

Non Gaussian ◽

Optimal Evaluation

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