Results 31 to 40 of about 713,545 (263)

Weighted Mixed Regression Estimation Under Biased Stochastic Restrictions [PDF]

open access: yes, 2007
The paper considers the construction of estimators of regression coefficients in a linear regression model when some stochastic and biased apriori information is available. Such apriori information is framed as stochastic restrictions.
---, Shalabh, Heumann, Christian
core   +1 more source

Root mean-square error (RMSE) and mean absolute error (MAE) assessments of the compared methods.

open access: yes, 2023
Root mean-square error (RMSE) and mean absolute error (MAE) assessments of the compared methods.
Yang Zhou (65942)   +4 more
core   +1 more source

Receiver Multiuser Diversity Aided Multi-Stage MMSE Multiuser Detection for DS-CDMA and SDMA Systems Employing I-Q Modulation [PDF]

open access: yes, 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, Lie-Liang Yang
core   +1 more source

Convergence of Monte Carlo simulations involving the mean-reverting square root process [PDF]

open access: yes, 2005
The mean-reverting square root process is a stochastic differential equation (SDE) that has found considerable use as a model for volatility, interest rate, and other financial quantities.
Mao, X., Mao, Xuerong, Higham, D.J.
core   +1 more source

A new hybrid method for data analysis when a significant percentage of data is missing [PDF]

open access: yesJournal of Hyperstructures
This article aims to compare the efficiency of different imputation methods with missing data. In this way we use mean, median, Expected-Maximization (EM), regression imputation(RI) and multiple imputations (MI) to replace missing data.In fact, we employ
Behrouz Fathi-Vajargah, Ahmad Nouraldin
doaj   +1 more source

Minimum mean square error estimation [PDF]

open access: yes, 1979
summary:In many cases we can consider the regression parameters as realizations of a random variable. In these situations the minimum mean square error estimator seems to be useful and important.
Wimmer, Gejza
core   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

An Efficient Estimation Procedure for the Population Mean under Non-Response

open access: yesStatistica, 2020
This paper introduces an efficient estimation procedure for the population mean in the presence of non-response. The proposed estimators of population mean provides an improvement over the corresponding conventional estimators proposed by Cochran (1977),
Shashi Bhushan, Abhay Pratap Pandey
doaj   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

open access: yesFEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee   +3 more
wiley   +1 more source

Adaptive Filters with Error Nonlinearities: Mean-Square Analysis and Optimum Design

open access: yesEURASIP Journal on Advances in Signal Processing, 2001
This paper develops a unified approach to the analysis and design of adaptive filters with error nonlinearities. In particular, the paper performs stability and steady-state analysis of this class of filters under weaker conditions than what is usually ...
Sayed Ali H, Al-Naffouri Tareq Y
doaj   +1 more source

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