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Recent climate change in Syria: Seasonal rainfall and climatology of Syria for 1991-2009

, 245-259. [11] Kendall, M.G. (1975). Rank Correlation Measures, London: Charles Griffin. [12] Theil, H. (1950). A rank-invariant method of linear and polynomial regression analysis, Nederl. Akad. Wetensch. Series A. 53, 386-392. [13] Sen, P.K. (1968). Estimates of the regression coefficient based on Kendall’s tau, Journal of the American Statistical Association. 63, 1379-1389.

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On Equilibrium of an Adaptive Single Component Market

On Equilibrium of an Adaptive Single Component Market

A mathematical model of an adaptive Samuel-Marshall type single component market described by quasi-linear functional differential equations with dependent on phase coordinates and frequently switched an ergodic Markov process is presented. The proposed method is based on an averaging procedure with respect to time along the critical solutions of the generative average linear equation and with respect to the invariant measure of the Markov process. It is proved that exponential stability of the resulting deterministic equation is sufficient for exponential p stability of the initial random system for all positive numbers P and for sufficiently fast switching.

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Classification in the Gabor time-frequency domain of non-stationary signals embedded in heavy noise with unknown statistical distribution

Recognition Letters   24 (1-3): 393-401. Jain A. K., Duin R. P. W. and Mao J. (2000). Statistical pattern recognition: A review, IEEE Transactions on Pattern Analysis and Machine Intelligence   22 (1): 4-7. Kyrki V., Kamarainen J.-K. and Klviinen H. (2004). Simple Gabor feature space for invariant object recognition, Pattern Recognition Letters   25 (3): 311-318. Latecki L. J. and Lakamper R. (2000). Shape similarity measure based on correspondence of visual parts, IEEE Transactions on Pattern

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Texture and Gene Expression Analysis of the MRI Brain in Detection of Alzheimer’s Disease

’s Disease. in International Conference on Biomedical Engineering 2012, Macau, Macao. [7] Simões R, Slump C, Marie A: Using local texture maps of brain MR images to detect Mild Cognitive Impairment. 21st International Conference on Pattern Recognition 2012, Japan [8] P. Morgado, M. Silveira, and J.S. Marques, J. Computer Methods in Biomechanics and Biomedical Engineering: 1, 183 (2013) [9] Ojala T: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Journal IEEE Transaction on Pattern Analysis and Machine

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Measuring Disclosure Risk and Data Utility for Flexible Table Generators

References Antal, L., N. Shlomo, and M. Elliot. 2014. “Measuring Disclosure Risk with Entropy in Population Based Frequency Tables.” In PSD’2014 Privacy in Statistical Databases, edited by J. Domingo-Ferrer, 62-78. Berlin: Springer. Cover, T.M. and J.A. Thomas. 2006. Elements of Information Theory, 2nd ed. New York: Wiley. Dalenius, T. and S.P. Reiss. 1982. “Data Swapping: A Technique for Disclosure Control.” Journal of Statistical Planning and Inference 7: 73-85. Doyle, P., J.I. Lane, J

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Ergodicity and Perturbation Bounds for Inhomogeneous Birth and Death Processes with Additional Transitions from and to the Origin

. (2013). The decay parameter and invariant measures for Markovian bulk-arrival queues with control at idle time, Methodology and Computing in Applied Probability 15 (2): 467–484. Parthasarathy, P. and Kumar, B.K. (1991). Density-dependent birth and death processes with state-dependent immigration, Mathematical and Computer Modelling 15 (1): 11–16. Van Doorn, E., Zeifman, A. and Panfilova, T. (2010). Bounds and asymptotics for the rate of convergence of birth-death processes, Theory of Probability and Its Applications 54 (1): 97–113. Zeifman

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Nanoparticle shapes: Quantification by elongation, convexity and circularity measures

invariant as a shape circularity measure”, Pattern Recognition , vol. 43, pp. 47–57, 2010.

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A novel technique to evaluate the geometrical accuracy of CT-MR image fusion in Gamma Knife radiosurgery procedures

, Lott S, Schmitt F, Sturm V, Lorenz WJ. Correction of spatial distortion in MR imaging: a prerequisite for accurate stereotaxy. J Comput Assist Tomogr. 1987 May-Jun;11(3):499-505. Sharpe M, Brock KK. Quality assurance of serial 3D image registration, fusion, and segmentation. Int J Radiat Oncol Biol Phys. 2008;71(1 Suppl):S33-37. Studholme C, Hill DLG, Hawkes DJ. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognit 1999 Jan;32(1):71-86. Watanbe Y, Han E. Image

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Estimating the parameters of lifetime distributions under progressively Type-II censoring from fuzzy data

, 16741686. Kim C. and Han K. (2009). Estimation of the scale parameter of the Rayleigh distribution under general progressive censoring, Journal of the Korean Statistical Society, 38, 239-246. Mann, N. R. (1971). Best linear invariant estimator for Weibull parameters under progressive censoring. Technometrics, 13, 521-533. Pak, A., Parham, G.H. and Saraj, M., (2013). On estimation of Rayleigh scale parameter under doubly Type-II censoring from imprecise data. Journal of Data Science, 11, 303-320. Pak, A., Parham, G.H. and Saraj, M., (2014

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Towards an Optimal Interest Point Detector for Measurements in Ultrasound Images

., Jones, M. (2002). Robust real-time object detection.International Journal of Computer Vision 57(2), 137-154. [32] Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91-110. [33] Casella, I., Presti, C., Porta, R., Sabbag, C., Bosch, M., Yamazaki, Y. (2008). A practical protocol to measure common carotid artery intima-media thickness. Clinics 63(4), 515-20. [34] Burget, R., Karasek, J., Smekal, Z., Uher, V., Dostal, O. (2010). Rapidminer image processing extension

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