Results 21 to 30 of about 2,396,173 (336)

A two parameter ratio-product-ratio estimator using auxiliary information [PDF]

open access: yes, 2012
We propose a two parameter ratio-product-ratio estimator for a finite population mean in a simple random sample without replacement following the methodology in Ray and Sahai (1980), Sahai and Ray (1980), Sahai and Sahai (1985) and Singh and Ruiz Espejo (
Chami, Peter S.   +2 more
core   +3 more sources

Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look

open access: yesIEEE Access, 2018
The past decade has seen a rapid application of information theoretic learning (ITL) criteria in robust signal processing and machine learning problems. Generally, in ITL's literature, it is seen that, under non-Gaussian assumptions, especially when the ...
Ahmad Reza Heravi, Ghosheh Abed Hodtani
doaj   +1 more source

The Bayesian ABEL Bound on the Mean Square Error [PDF]

open access: yes2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
This paper deals with lower bound on the Mean Square Error (MSE). In the Bayesian framework, we present a new bound which is derived from a constrained optimization problem. This bound is found to be tighter than the Bayesian Bhattacharyya bound, the Reuven-Messer bound, the Bobrovsky-Zakai bound, and the Bayesian Cramer-Rao bound.
Renaux, A.   +3 more
openaire   +3 more sources

Quantitative Kinetic Energy Estimated from Disdrometer Signal [PDF]

open access: yes, 2020
The kinetic energy of the rain drops was predicted in a relation between the rain rate and rain quantity, derived directly from the rain drop size distribution (DSD), which had been measured by a disdrometer located in the eastern state of Alagoas ...
Kwon, Byung-Hyuk   +4 more
core   +1 more source

On Jeffery Prior Distribution in Modified Double Stage Shrinkage-Bayesian Estimator for Exponential Mean

open access: yesJournal 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

open access: yesEurasian 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

open access: yesJournal 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
doaj   +1 more source

Distribution-graph based approach and extended tree growing technique in power-constrained block-test scheduling [PDF]

open access: yes, 2000
A distribution-graph based scheduling algorithm is proposed together with an extended tree growing technique to deal with the problem of unequal-length block-test scheduling under power dissipation constraints. The extended tree growing technique is used
Muresan, Valentin   +3 more
core   +1 more source

Mean square error of the traditional replacement for the linear mechanical system

open access: yesVietnam 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
doaj   +1 more source

Review of Root-Mean-Square Error Calculation Methods for Large Deployable Mesh Reflectors

open access: yesInternational 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
doaj   +1 more source

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