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CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Recently, Generalized Discrete Fourier Transform (GDFT) has been forwarded as the theoretical framework to design a variety of constant modulus orthogonal complex transforms with non-linear phase. In this paper, we evaluate the auto- and cross-correlation properties of several GDFT solutions and compare them with the

lexie@zozen.com > Get A Quote >/ Improved and extended end-of-sample instability tests using a feasible quasi-generalized least squares procedure. In: Econometric Theory. 2010 ; Vol. 26, the feasible quasi-generalized least squares (FQGLS) version of the Andrews and Kim (2006) P test is considered and is shown, by simulations, to be more robust to serial correlation in

lexie@zozen.com > Get A Quote >2017-12-21 · A generalized exchange-correlation functional: the Neural-Networks approach q Xiao Zheng, LiHong Hu, XiuJun Wang, GuanHua Chen * Department of Chemistry, The University of Hong Kong, Hong Kong, PR China

lexie@zozen.com > Get A Quote >2004-5-11 · Generalized generalized gradient approximation: An improved density-functional theory for accurate orbital eigenvalues Xinlei Hua, Xiaojie Chen, and W. A. Goddard III* Materials and Process Simulation Center, Beckman Institute (139-74), Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125

lexie@zozen.com > Get A Quote >An improved method for generalized constrained canonical correlation analysis (GC- CANO) is proposed. In the original GCCANO, data matrices were flrst decomposed into the sum of several matrices

lexie@zozen.com > Get A Quote >2019-1-18 · 150 Improved GEE analysis using xtqls 2.2 Review of GEE GEE is widely used because it extends generalized linear models to correlated data; for a thorough discussion of GEE, see Hardin and Hilbe (2003).In the following, we refer to GEE as the iterative approach for estimation developed by Liang and Zeger (1986) that alternates between (1) updating the estimate of the regression parameter by

lexie@zozen.com > Get A Quote >Do The Generalized Correlation Methods Improve Time- Delay Estimation of the Muscle Fiber Conduction Velocity? Philippe RAVIER, Gia-Thien LUU, Meryem JABLOUN and Olivier BUTTELLI University of Orléans, France PRISME Laboratory, 12 rue de Blois, BP 6744, 45067 Orléans, France.

lexie@zozen.com > Get A Quote >2015-12-12 · An improved version of the generalized correlation of critical heat flux for the forced convective boiling in uniformly heated vertical tubes Y. KATTO and H. OHNO Department of Mechanical Engineering, University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113, Japan

lexie@zozen.com > Get A Quote >2013-7-23 · generalized to closed curves by having a circular neuron at the bottleneck, as in Hsieh (2001a), which follows Kirby and Miranda (1996). This code is also used for NLSSA (Hsieh and Wu, 2002). Section 5 describes the NLCCA code of Hsieh (2001b), which is an improved version of Hsieh (2000). A demo problem is set up in each section.

lexie@zozen.com > Get A Quote >2016-6-30 · Improved Correlation for Viscosity from Surface Tension Data for Saturated Normal Fluids Jianxiang Tian 1, 2, *, Ángel Mulero3 1Shandong Provincial Key Laboratory of Laser Polarization and Information Technology Department of Physics, Qufu Normal University, Qufu, 273165, P. R.

lexie@zozen.com > Get A Quote >Our generalized correlation measure overcomes these problems and, moreover, allows for an improved understanding of the conformational dynamics by separating linear and nonlinear contributions of

lexie@zozen.com > Get A Quote >Generalized estimating equations are commonly used to analyze correlated data. Choosing an appropriate working correlation structure for the data is important, as the efficiency of generalized estimating equations depends on how closely this structure approximates the true structure.

lexie@zozen.com > Get A Quote >Improved generalized family of estimators of population mean using information on transformed auxiliary variables.pdf The population correlation coefficient between The generalized version

lexie@zozen.com > Get A Quote >The new definition, called the generalized Gini correlation, is found to include special cases that are equivalent to common evaluation measures used in data mining, for example, the LIFT measures for a binary response and the expected profit measure for a monetary response. Let the sample version of the GG correlation be (hat{Gamma

lexie@zozen.com > Get A Quote >2016-12-8 · Reference-adaptive CDSK: An enhanced version of correlation delay shift keying

lexie@zozen.com > Get A Quote >On an Improved Correlation Analysis of Stream Ciphers Using Muti-Output Boolean Functions and the Related Generalized Notion of Nonlinearity.

lexie@zozen.com > Get A Quote >2018-1-19 · Generalized Additive Mixed Models Description. Fits the specified generalized additive mixed model (GAMM) to data, by a call to lme in the normal errors identity link case, or by a call to gammPQL (a modification of glmmPQL from the MASS library) otherwise. In the latter case estimates are only approximately MLEs.

lexie@zozen.com > Get A Quote >2003-10-29 · DYNAMIC CONDITIONAL CORRELATION – A SIMPLE CLASS OF MULTIVARIATE GARCH MODELS Robert Engle 1 July 1999 Revised Jan 2002 A version of this estimator with a 100 day window, called MA100, will be compared with other correlation estimators. parameters and often gives improved performance. In the general vec model of equation (9), this can

lexie@zozen.com > Get A Quote >2012-10-19 · Improved Feature Selection Algorithm Based on SVM and Correlation Zong-Xia Xie, Qing-Hua Hu, and Da-Ren Yu Harbin Institute of Technology,

lexie@zozen.com > Get A Quote >2017-10-20 · Generalized linear models (GLMs) are a means of modeling the relationship between a variable whose outcome we wish to predict and one or more explanatory variables. The predicted variable is called the target variable and is denoted In property/ y.

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