Results 21 to 30 of about 713,545 (263)
, 2020 : Use of suitable auxiliary information is always suggested in literature at the planning and estimation stage to make the estimators more powerful in terms of efficiency.
Khare, Supriya; Banaras Hindu University +2 more
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Stochastic analysis of an error power ratio scheme applied to the affine combination of two LMS adaptive filters [PDF]
, 2011 The affine combination of two adaptive filters that simultaneously adapt on the same inputs has been actively investigated. In these structures, the filter outputs are linearly combined to yield a performance that is better than that of either filter ...
Jean-Yves Tourneret +5 more
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Mean square error of reconstruction.
, 2022 Mean square error of reconstruction.
David Swigon (282297) +3 more
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Journal of Kufa for Mathematics and Computer, 2012        This paper is concerned with Modified Double Stage Shrinkage Bayesian (DSSB) Estimator for lowering the mean squared error of classical estimator  for the scale parameter (q) of an Exponential Distribution in suitable region (R) around ...
Abbas Najim Salman +2 more
doaj +1 more source
Forecasting the Beef Meat Prices in Erbil Using Box-Jenkins Models
Eurasian Journal of Management & Social Sciences, 2020 Foodstuff has a crucial role for everybody life in the world. In Iraq, beef meat is one of the important parts of the food basket of every household in Erbil.
Feink Mohammed Omer, Wasfi Tahir Salih
doaj +1 more source
A DFT-based Low Complexity LMMSE Channel Estimation Technique for OFDM Systems
Journal of Telecommunications and Information Technology, 2022 The linear minimum mean square error (LMMSE) channel estimation technique is often employed in orthogonal frequency division multiplexing (OFDM) systems because of its optimal performance in the mean square error (MSE) performance.
Jyoti Prasanna Patra +2 more
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, 2014 *() standard error based on 1000 trials.Mean square error of .
Hung-Yi Lu (625937)
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Mean square error of the traditional replacement for the linear mechanical system
Vietnam Journal of Mechanics, 1993 The error between mean square responses of the original mechanical linear system and the system obtained by using the traditional replacement is investigated.
Nguyen Dong Anh
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Modified Estimator of Finite Population Variance under Stratified Random Sampling
Engineering Proceedings, 2023 This paper proposes a generalized estimator of finite population variance using the auxiliary information under stratified random sampling. The expressions for bias and mean square error equations of the proposed estimator up to the first degree of ...
Yahaya Zakari, Isah Muhammad
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A steady-state analysis of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm
, 2011 In this work, expressions are derived for the steady-state excess-mean-square error (EMSE) of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm for both cases of real- and complex-valued data.
Zerguine, A., Ulla Faiz, M.
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