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Estimating Classification Errors Under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC)

. Available at: https://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.41/2010/wp.10.e.pdf (accessed April 24, 2017). Bakker, B.F.M. 2012. “Estimating the Validity of Administrative Variables.” Statistica Neerlandica 66: 8–17. Doi: http://dx.doi.org/10.1111/j.14679574.2011.00504.x . Biemer, P.P. 2011. Latent Class Analysis of Survey Error (Vol. 571). Hoboken, New Jersey: John Wiley & Sons. De Waal, T. 2016. “Obtaining Numerically Consistent Estimates from a Mix of Administrative Data and Surveys.” Statistical Journal of the IAOS 32: 231

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A New C0 2D Fe Model Based on Improved Higher Order Zigzag Theory for the Analysis of Soft Core Sandwich Plate

efficient FE model and least square error method for accurate calculation of transverse stresses in composites and sandwich laminates . - Composites: Part B. Accepted. Lo K.H., Christensen R.M. and Wu E.M. (1977): A higher order theory of plate deformation, Part2. Laminated plates . - J. Appl. Mech. Trans. ASME, vol.44, pp.669-76. Liou W.J. and Sun C.T. (1987): A three dimensional hybrid stress isoparametric element for analysis of laminated composite plates . - Computers and Structures, vol.25(2), pp.241-249. Lee K

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The effect of heart pulsatile on the measurement of artery bioimpedance

(without and with the pulsatile effect) is 2.279×10 −4 ohm and 1.613×10 −4 ohm at 2000 mg/dl glucose concentration, which represent the error in the measurement of glucose level in case of neglecting the heart pulsatile effect. Therefore, Fig.9 confirms the objective of this article, which is the importance of adding the heart pulsatile effect to the estimation of blood diseases based on the bioimpedance technique. Conclusion A model of non-invasive electrodes for measurement of artery bioimpedance and a model of composite layers is presented and discussed

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Predicting the Surface Quality of Face Milled Aluminium Alloy Using a Multiple Regression Model and Numerical Optimization

Abstract

The surface roughness is a very significant indicator of surface quality. It represents an essential exploitation requirement and influences technological time and costs, i.e. productivity. For that reason, the main objective of this paper is to analyse the influence of face milling cutting parameters (number of revolution, feed rate and depth of cut) on the surface roughness of aluminium alloy. Hence, a statistical (regression) model has been developed to predict the surface roughness by using the methodology of experimental design. Central composite design is chosen for fitting response surface. Also, numerical optimization considering two goals simultaneously (minimum propagation of error and minimum roughness) was performed throughout the experimental region. In this way, the settings of cutting parameters causing the minimum variability in response were determined for the estimated variations of the significant regression factors.

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Experimental Evaluation a Tensile Strength of PAFSIN Pipes in Different Types of Land

6. REFERENCES Adams, R.D., Cawley, P.D., 1998. A review of defect types and non-destructives testing techniques for composites and bonded joints. Non Destructive Techniques Int., 21:208-22. Akimwumi, I.I., Diwa, D., 2014. Effects of crude oil contamination on the index properties, strength and permeability of lateritic clay. Int. Journal of applied sciences and engineering research, vol.3 no.4. Cojocaru, G., 2017. Experimental investigations on the effect of soil pH on GRP buried pipes. Sub-urban – A European network to improve

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Characterization and optimization of spectrophotometric colour removal from dye containing wastewater by Coagulation-Flocculation

treatments: Enzymatic catalysis, coagulation/flocculation and nanofiltration processes. Desalination 268, 27-37. DOI: 10.1016/j.desal.2010.09.046. 12. Tzoupanos, N.D., Zouboulis, A.I. & Zhao, Y.C. (2008). The application of novel coagulant reagent (poly aluminium silicate chloride) for the post-treatment of landfill leachates. Chemosphere 73, 729-736. DOI: 10.1016/j.chemosphere.2008.06.051. 13. Zhu, G., Zheng, H., Chen, W., Fan, W., Zhang, P. & Tshukudu, T. (2012). Preparation of a composite coagulant: Polymeric aluminium ferric sulphate

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A Wear Geometry Model of Plain Woven Fabric Composites

References [1] Huang T., Li T., Xin S., et al.: Mechanical and tribological properties of hybrid fabric-modified polyetherimide composites, Wear, Vol.306(1-2), pp. 64-72, 2013. [2] Sharma M, Bijwe J., Mitschang P.: Wear performance of PEEK-carbon fabric composites with strengthened fiber-matrix interface, Wear, Vol. 271(9-10), pp. 2261-2268, 2011. [3] Ren G., Zhang Z., Zhu X., et al.: Influence of functional graphene as filler on the tribological behaviors of Nomex fabric/phenolic composite, Composites: Part A, Vol. 49, pp. 157-164, 2013. [4] Bijwe J

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Nowcasting Quarterly GDP Dynamics in the Euro Area – The Role of Sentiment Indicators

Abstract

The paper compares the most closely watched sentiment indicators with respect to their ability to nowcast quarterly GDP dynamics in the Euro Area and its biggest economies. We analyse cross-correlations and out-of-sample forecast errors generated from equations estimated by rolling regressions in fixed-length window. The results show that models employing PMI Composite perform best in the cases of the Euro Area, Germany, France and Italy, whilst Spanish GDP dynamics is best nowcasted using ESI-based models. PMI-based models generate the most accurate nowcasts at the beginning of the quarter, as well as during periods of high volatility of GDP growth rates

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Soft computing model for analysing the effect of friction stir processing parameters on the intergranular corrosion susceptibility of aluminium alloy AA5083

Abstract

Aluminium alloy AA5083 is prone to intergranular corrosion in marine environments. In an attempt to reduce the intergranular corrosion, AA5083 was subjected to friction stir processing (FSP). The FSP experimental trials were conducted as per face-centered central composite design with three levels of variation in FSP process parameters viz. tool rotation speed (TRS), tool traverse speed (TTS) and tool shoulder diameter (SD). Intergranular corrosion susceptibility of the processed specimens was assessed by performing nitric acid mass loss test. The mass loss of the specimens was correlated with the intergranular corrosion susceptibility as per the standard ASTM G67-13. The experimental results indicate that FSP had significantly reduced the intergranular corrosion susceptibility of the AA5083 alloy. Soft computing techniques namely Artificial Neural Network, Mamdani Fuzzy system, and Sugeno Fuzzy system were used to predict the intergranular corrosion (IGC) susceptibility (mass loss) of the friction stir processed specimens. Among the developed models, Sugeno fuzzy system displayed minimum percentage error in prediction. So Sugeno fuzzy system was used to analyze the effect of friction stir processing process parameters on the IGC of the processed specimens. The results suggest that stir processing of AA5083 at a TRS of 1300 rpm, TTS of 60 mm/min and SD of 21 mm would make the alloy least susceptible to intergranular corrosion.

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Enterprise Risk Management in Kosovo’s Banking Sector

., & Nikitina, T. (2008). Die Vereinbarung Basel II - Einflüsse auf den russischen Finanzsektor. Working Paper No. 44, University of Applied Sciences bfi Vienna, February 2008. Fisher, R. A. (1922). The goodness of fit of regression formulae, and the distribution of regression coefficients. Journal of the Royal Statistical Society, 85(4), 597-612. https://doi.org/10.2307/2341124 Fuller, W. A. (1987). For a good introduction to error-in-variables, Measurement Error Models. John Wiley & Sons. ISBN 0-471-86187-1. Glantz, M. (2003

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