Validating linear restrictions in linear regression models with general error structure [PDF]
, 2006 A new method for testing linear restrictions in linear regression models is suggested. It allows to validate the linear restriction, up to a specified approximation error and with a specified error probability.
Holzmann, Hajo +2 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
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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
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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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Mean square error of reconstruction.
, 2022 Mean square error of reconstruction.
David Swigon (282297) +3 more
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Receiver Multiuser Diversity Aided Multi-Stage MMSE Multiuser Detection for DS-CDMA and SDMA Systems Employing I-Q Modulation [PDF]
, 2010 The so-called receiver multiuser diversity aided multistage minimum mean-square error multiuser detector (RMD/MS-MMSE MUD), which was proposed previously by the author, is investigated in the context of the direct-sequence code-division multiple-access ...
Yang, Lie-Liang
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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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Review of Root-Mean-Square Error Calculation Methods for Large Deployable Mesh Reflectors
International Journal of Aerospace Engineering, 2022 In the design of a large deployable mesh reflector, high surface accuracy is one of ultimate goals since it directly determines overall performance of the reflector. Therefore, evaluation of surface accuracy is needed in many cases of design and analysis
Sichen Yuan
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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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