Showing 921 - 940 results of 13,904 for search '"estimator"', query time: 0.07s Refine Results
  1. 921

    Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems by Weili Xiong, Wei Fan, Rui Ding

    Published 2012-01-01
    “…The basic idea is to obtain linear-in-parameters models by overparameterizing such nonlinear systems and to use the least-squares algorithm to estimate the unknown parameter vectors. It is proved that the parameter estimates consistently converge to their true values under the persistent excitation condition. …”
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    Article
  2. 922

    A Validated RP – HPLC Method for Simultaneous Estimation of Cefixime and Cloxacillin in Tablets by G. Rathinavel, P. B. Mukherjee, J. Valarmathy, L. Samueljoshua, M. Ganesh, T. Sivakumar, T. Saravanan

    Published 2008-01-01
    “…The developed method is rapid and sensitive and it can be used for estimation of combination of these drugs in tablets.…”
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    Article
  3. 923

    Channel Parameter Estimation for Scatter Cluster Model Using Modified MUSIC Algorithm by Jinsheng Yang, Xuzhao Wu, Qing Wang

    Published 2012-01-01
    “…Furthermore, the estimations’ performance increases with elements of receive array and samples length. …”
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    Article
  4. 924

    Estimating Willingness to Pay for New Mandarin Cultivars: A Revealed Preference Approach by Xiang Bi, Lisa House, Zhifeng Gao, Frederick Gmitter

    Published 2014-11-01
    “…This 6-page fact sheet was written by Xiang Bi, Lisa House, Frederick Gmitter, and Zhifeng Gao, and published by the UF Department of Food and Resource Economics, September 2014. FE955/FE955: Estimating Willingness to Pay for New Mandarin Cultivars: A Revealed Preference Approach (ufl.edu) …”
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    Article
  5. 925
  6. 926

    Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning by Lingga Aksara Putra, Bernhard Huber, Matthias Gaderer

    Published 2023-01-01
    “…The project aims to use NIR sensors and machine learning algorithms to estimate the acetic acid concentration in a biogas substrate based on the measured intensities of the substrate. …”
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    Article
  7. 927

    On Quantiles Estimation Based on Stratified Sampling Using Multiplicative Bias Correction Approach by Nicholas Makumi, Romanus Odhiambo Otieno, George Otieno Orwa, Alexis Habineza

    Published 2022-01-01
    “…Furthermore, the proposed estimator’s asymptotic behavior is presented, and when certain conditions are met, the estimator is observed to be asymptotically unbiased and asymptotically consistent. …”
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    Article
  8. 928
  9. 929

    Estimating Willingness to Pay for New Mandarin Cultivars: A Revealed Preference Approach by Xiang Bi, Lisa House, Zhifeng Gao, Frederick Gmitter

    Published 2014-11-01
    “…This 6-page fact sheet was written by Xiang Bi, Lisa House, Frederick Gmitter, and Zhifeng Gao, and published by the UF Department of Food and Resource Economics, September 2014. FE955/FE955: Estimating Willingness to Pay for New Mandarin Cultivars: A Revealed Preference Approach (ufl.edu) …”
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    Article
  10. 930

    Resource Allocation in a Cognitive Radio System with Imperfect Channel State Estimation by Tao Qin, Cyril Leung, Chunyan Miao, Zhiqi Shen

    Published 2010-01-01
    “…It is shown that channel estimation errors can result in a severe performance degradation in a multiuser OFDM CR system. …”
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    Article
  11. 931

    A Static State Estimation Scheme in Microgrid Utilizing μPMU Measurements by Kunal Kumar, Prince Kumar, Susmita Kar, Aashish Kumar Bohre, Samuel Amde Gebereselassie

    Published 2023-01-01
    “…The developed scheme of IFSSE utilizes M-estimator (ME) concept, which is combined with the linear static state estimation (SSE) approach in order to provide robust estimation. …”
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    Article
  12. 932

    Estimating Benefits of Residential Outdoor Water Conservation: A Step-by-Step Guide by Tatiana Borisova, Laura A. Warner, Weizhe Weng, Jennison Searcy, Anil Kumar Chaudhary, Michael Dukes

    Published 2024-10-01
    “… This article was developed to help Extension agents, water-conservation managers, and homeowners estimate the economic benefits of residential outdoor water conservation. …”
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    Article
  13. 933
  14. 934
  15. 935

    The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays by Haiyun Xu, Weijia Cui, Yuxi Du, Fengtong Mei, Bin Ba

    Published 2021-01-01
    “…When there is coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms for direction-of-arrival (DOA) estimation using difference coarray fail. In order to solve the problems, this paper analyzes the feasibility of using spatial smoothing in sparse arrays. …”
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    Article
  16. 936

    Load Estimation of Complex Power Networks from Transformer Measurements and Forecasted Loads by Haina Rong, Francisco de León

    Published 2020-01-01
    “…This paper presents a load estimation method applicable to complex power networks (namely, heavily meshed secondary networks) based on available network transformer measurements. …”
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  17. 937

    Estimation of Integral Inequalities Using the Generalized Fractional Derivative Operator in the Hilfer Sense by Saima Rashid, Rehana Ashraf, Kottakkaran Sooppy Nisar, Thabet Abdeljawad

    Published 2020-01-01
    “…In this article, we introduce some estimations of left and right sides of the generalized Caputo fractional derivatives of a function for nth order differentiability via convex function, and related inequalities have been presented. …”
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    Article
  18. 938

    Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

    Published 2025-02-01
    “…We found volume estimates were accurate and could be successfully estimated for up to 68% of hauled‐out seals in study areas. …”
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  19. 939

    Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model by Nhat-Duc Hoang, Anh-Duc Pham, Quoc-Lam Nguyen, Quang-Nhat Pham

    Published 2016-01-01
    “…Furthermore, GPR model is strongly recommended for estimating HPC strength because this method demonstrates good learning performance and can inherently express prediction outputs coupled with prediction intervals.…”
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    Article
  20. 940