A restricted $$r{-}k$$ r - k class estimator in the mixed regression model with autocorrelated disturbances

Chandra, Shalini; Sarkar, Nityananda

doi:10.1007/s00362-015-0664-4

Cited by 13 publications

(14 citation statements)

References 18 publications

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“…Following Firinguetti [15], Judge et al [31], and Chandra and Sarkar [24], are generated from AR(1) process as…”

Section: Monte Carlo Studymentioning

confidence: 99%

“…The quarterly US data on GDP growth ( ), personal disposable income ( 1 ), personal consumption expenditure ( 2 ), and corporate tax after profits ( 3 ) for the years 1970-1991 have been taken from Gujarati [34]. The data has also been used by Chandra and Sarkar [24]. The variables are standardized and the eigenvalues of matrix are obtained as 324.6527396, 21.8742084, 1.2365875, and 0.2364645, which shows high multicollinearity in the data.…”

Section: Numerical Examplementioning

confidence: 99%

“…Keeping this in mind, a good amount of literature has been devoted to study these problems simultaneously by Trenkler [14], Firinguetti [15], G. M. Bayhan and M. Bayhan [16], Alheety and Kibria [17],Özkale [18], Güler and Kaçiranlar [19], Alkhamisi [20], Yang and Wu [21], Eledum and Alkhalifa [22], Şiray [23], and Chandra and Sarkar [24], to name a few.…”

Section: Introductionmentioning

confidence: 99%

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A Note on the Performance of Biased Estimators with Autocorrelated Errors

Tyagi

Chandra

2017

International Journal of Mathematics and Mathematical Sciences

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It is a well-established fact in regression analysis that multicollinearity and autocorrelated errors have adverse effects on the properties of the least squares estimator. Huang and Yang (2015) and Chandra and Tyagi (2016) studied the PCTP estimator and the − ( , ) class estimator, respectively, to deal with both problems simultaneously and compared their performances with the estimators obtained as their special cases. However, to the best of our knowledge, the performance of both estimators has not been compared so far. Hence, this paper is intended to compare the performance of these two estimators under mean squared error (MSE) matrix criterion. Further, a simulation study is conducted to evaluate superiority of the − ( , ) class estimator over the PCTP estimator by means of percentage relative efficiency. Furthermore, two numerical examples have been given to illustrate the performance of the estimators.

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“…Following Firinguetti [15], Judge et al [31], and Chandra and Sarkar [24], are generated from AR(1) process as…”

Section: Monte Carlo Studymentioning

confidence: 99%

Section: Numerical Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Note on the Performance of Biased Estimators with Autocorrelated Errors

Tyagi

Chandra

2017

International Journal of Mathematics and Mathematical Sciences

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“…This increase elicits the capability of the ZnO nanowires, as fiber/matrix reinforcement, to promote the energy dissipation within the material. The energy dissipation in the composite is influenced by the epoxy matrix more than the fibers due to the inherent viscoelastic nature of the polymeric matrix [33][34][35]. Besides the matrix contribution, vibrational energy can be dissipated through slippage and frictional interactions between the nano-reinforcement and the matrix [36,37].…”

Section: Dynamic Mechanical Testingmentioning

confidence: 99%

Quasistatic and dynamic mechanical characterization of a woven carbon fiber–zinc oxide nanowires–epoxy composite

Masghouni

Al-Haik

2014

Polymer Composites

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The ability to engineer the fiber/matrix interface in carbon fiber reinforced polymers (FRPs) can be achieved by introducing a nanophase between the fiber and the matrix, which could functionally-grade the material properties and enhance the load transfer. Many nanomaterials when employed exhibited significant interfacial improvements such as carbon nanotubes and nanofibers. In lieu of carbon nanomaterials, we suggest growing zinc oxide (ZnO) nanowires on the interface of woven carbon fibers prior to forming the composite. This study shows that, when grown on the surface of carbon fibers, the ZnO nanowires have enhanced both the on-axis strength and stiffness by 20 and 7.5%, respectively, and the off axis strength by 14%. The experimental results showed also that the interlaminar shear strength increased by 88% and the damping capabilities by 51%. Furthermore, this novel interface could also offer embedded energy harvesting functionality through the piezoelectric properties of ZnO. POLYM. COMPOS., 36:2184-2192, 2015

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“…It has been observed that ZnS when used as host material has the ability to produced different emission bands in different regions with various dopants such as orange (Mn), [2] green (Cu) [5] and red emissions (Eu). [4] ZnS has been more successfully used as the host candidate with Mn Abbreviations: EDTA, ethyldiamine tetra-acetic acid; FWHM, full-width at halfmaximum; TEM, transmission electron microscopy; UV, ultra-violet; XRD, X-ray diffraction as a dopant due to the chemical similarity between Zn 2+ and Mn 2+ and also due to the strong hybridization that takes place between the s-p states of the ZnS host and the d states of the Mn 2+ ion. Furthermore Mn 2+ helps in the production of improved luminescence properties along with the variation in particle size.…”

Section: Introductionmentioning

confidence: 99%

Tuneable luminescence properties of EDTA‐assisted ZnS:Mn nanocrystals from a yellow‐orange to a red emission band

et al. 2017

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Luminescence technology has been improved with the help of semiconductor nanoparticles that possess novel optical and electrical properties compared with their bulk counterpart. The aim of this study was to design semiconductor nanocrystals in their pure (ZnS) or doped form (ZnS:Mn) with different concentrations of Mn ions by a wet chemical route stabilized by ethylenediamine tetra-acetic acid (EDTA) and to evaluate their luminescence properties. The nanocrystals were characterized by physicochemical techniques such as X-ray diffraction (XRD), High-resolution transmission electron microscopy (HRTEM), selected area electron diffraction (SEAD), EDS, and ultraviolet (UV)-visible light and photoluminescence (PL) studies. These results showed the presence of cubic phase and spherically shaped nanocrystals. A blue shift with respect to their bulk counterpart was observed. PL emission spectra were observed with a fixed blue peak and the yellow-orange bands were red shifted towards the red region under the same excitation wavelength. The orange-red bands were attributed to the radiation transition of electrons in 3d5 unfilled shells of Mn ions [ T ( G)- A ( S)]; the ZnS matrix varied with Mn concentration. Shift and increase in the intensity of the PL and absorption bands were observed with increase in Mn content. The study showed that Mn -doped ZnS nanocrystal emission bands can be tuned from the yellow-orange to the red regions under a controlled synthesis process and could be used as promising luminescent emitters in the biology field upon functionalization with suitable materials. Further studies on construction with various other materials will be useful for practical applications.

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A restricted $$r{-}k$$ r - k class estimator in the mixed regression model with autocorrelated disturbances

Cited by 13 publications

References 18 publications

A Note on the Performance of Biased Estimators with Autocorrelated Errors

A Note on the Performance of Biased Estimators with Autocorrelated Errors

Quasistatic and dynamic mechanical characterization of a woven carbon fiber–zinc oxide nanowires–epoxy composite

Tuneable luminescence properties of EDTA‐assisted ZnS:Mn nanocrystals from a yellow‐orange to a red emission band

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