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  1. 101
    Goat Milk Nutritional Quality Software-Automatized Individual Curve Model Fitting, Shape Parameters Calculation and Bayesian Flexibility Criteria Comparison
    Subjects: “...linear and nonlinear regression...”
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    Article
  2. 102
    Statistical analysis on the fluence factor of surveillance test data of Korean nuclear power plants
    Subjects: “...Nonlinear Regression...”
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    Article
  3. 103
    tolerance: An R Package for Estimating Tolerance Intervals
    by Derek S. Young
    Published 2010-10-01
    Subjects: “...nonlinear regression...”
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    Article
  4. 104
    Estimation of Tree Heights in an Uneven-Aged, Mixed Forest in Northern Iran Using Artificial Intelligence and Empirical Models
    Subjects: “...nonlinear regression...”
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    Article
  5. 105
    Analyzing Loose Contact Oxidation of Diesel Engine Soot and Ag/CeO2 Catalyst Using Nonlinear Regression Analysis
    by Yasukazu Kobayashi, Riki Hikosaka
    Published 2017-04-01
    Subjects: “...nonlinear regression analysis...”
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  6. 106
    On Comparing and Classifying Several Independent Linear and Non-Linear Regression Models with Symmetric Errors
    Subjects: “...nonlinear regression...”
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  7. 107
    Densely Connected Neural Networks for Nonlinear Regression
    by Chen, D., Hu, F., Jiang, C., Jiang, C.
    Published 2022
    Subjects: “...nonlinear regression...”
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    Article
  8. 108
    Investigation on adsorption capacity of TiO2-P25 nanoparticles in the removal of a mono-azo dye from aqueous solution: A comprehensive isotherm analysis
    Subjects: “...nonlinear regression analysis...”
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    Article
  9. 109
    Optimal control of bank investment as a factorof economic stability
    by A. V. Shatrov, V. P. Okhapkin
    Published 2012-12-01
    Subjects: “...nonlinear regression...”
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    Article
  10. 110
    Monitoring of PM<sub>2.5</sub> Concentrations by Learning from Multi-Weather Sensors
    by Yuexia Wang, Zhihuo Xu
    Published 2020-10-01
    Subjects: “...multivariate nonlinear regression...”
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    Article
  11. 111
    A Nonlinear Land Use Regression Approach for Modelling NO<sub>2</sub> Concentrations in Urban Areas—Using Data from Low-Cost Sensors and Diffusion Tubes
    Subjects: “...nonlinear regression...”
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    Article
  12. 112
    Programa de ajuste multiparamétrico de curvas de titulação potenciométricas de ácidos húmicos Multiparametric adjustment program of potentiometric titration curves of humic acids
    Subjects: “...nonlinear regression...”
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    Article
  13. 113
    New predictive models via gene expression programming and multiple nonlinear regression for SFRC beams
    by Yasser Sharifi, Adel Moghbeli
    Published 2020-11-01
    Subjects: “...Multiple nonlinear regression...”
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    Article
  14. 114
    Variation in Wood Quality in White Spruce (Picea Glauca (Moench) Voss). Part I. Defining the Juvenile–Mature Wood Transition Based on Tracheid Length
    Subjects: “...nonlinear regression...”
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    Article
  15. 115
    Climate Sensitive Tree Growth Functions and the Role of Transformations
    by Jürgen Zell
    Published 2018-06-01
    Subjects: “...nonlinear regression...”
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    Article
  16. 116
    Ajuste do modelo de Schumacher e Hall e aplicação de redes neurais artificiais para estimar volume de árvores de eucalipto Adjustment of the Schumacher and Hall model and application of artificial neural networks to estimate volume of eucalypt trees
    Subjects: “...nonlinear regression...”
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    Article
  17. 117
    Models for Predicting Development Effort of Small-Scale Visualization Projects
    by Jayaram M.A., Kiran Kumar T.M., Raghavendra H.V.
    Published 2018-07-01
    Subjects: “...nonlinear regression...”
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    Article
  18. 118
    A Constitutive Equation for Predicting Elevated Temperature Flow Behavior of BFe10-1-2 Cupronickel Alloy through Double Multiple Nonlinear Regression
    by Cai Jun, Wang Meng, Shi Jiamin, Wang Kuaishe, Wang Wen
    Published 2019-02-01
    Subjects: “...double multivariate nonlinear regression...”
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    Article
  19. 119
    Sigmoid growth curves, a new approach to study the dynamics of the epicotyl emergence of oak
    by Ukalska Joanna, Jastrzębowski Szymon
    Published 2019-03-01
    Subjects: “...nonlinear regression...”
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    Article
  20. 120
    Machine learned hybrid Gaussian analysis of COVID-19 pandemic in India
    Subjects: “...Nonlinear Regression...”
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    Article
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