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  • Search: subject:"Covariance Structures"
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Year of publication
Subject
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covariance structures 20 factor analysis 5 structural equations 4 Covariance structures 3 GMM 3 maximum likelihood 3 mean and covariance structures 3 (Q)MLE 2 Analytical and Bootstrap Bias-Adjusted Estimators 2 Covariance Structures 2 EL 2 EM algorithm 2 Generalized Empirical Likelihood 2 LISREL 2 analysis of covariance structures 2 errors in variables 2 generalized least squares 2 identification 2 latent variables 2 mean structures 2 missing data 2 returns to scale 2 62E20 Stochastic optimization Likelihood ratio test statistic Asymptotic normality Asymptotic bias Nonnested models Moment (covariance) structures Discrepancy functions 1 62F05 secondary 1 Anisotropy 1 Betriebswirtschaftliche Produktionsfunktion 1 Bias in likelihood ratio testing 1 Box-Jenkins model 1 Chi-square statistic 1 Full symmetry 1 Gauss-Newton method 1 Gewinn 1 Goodness-of-fit 1 Identification covariance structures maximum likelihood 1 Jacobian matrix 1 Kosten 1 LISCOMP 1 LR tests 1 Linear structural relations 1 Logistic model 1
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Online availability
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Undetermined 33 Free 2
Type of publication
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Article 33 Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 1
Language
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Undetermined 33 English 3
Author
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Bentler, P. 3 McDonald, Roderick 3 Bentler, Peter 2 Browne, Michael 2 Gorodnichenko, Yuriy 2 Lee, Sik-Yum 2 Poon, Wai-Yin 2 Prokhorov, Artem 2 Ramalho, Joaquim 2 Shapiro, Alexander 2 Yung, Yiu-Fai 2 Anderson, James 1 Andrade, Dalton 1 Bentler, P. M. 1 Bentler, Peter M. 1 Bollen, Kenneth 1 Browne, M. 1 Buuren, Stef 1 Chen, Nan 1 Cudeck, Robert 1 Dijkstra, t. 1 Dong, Zibo 1 Dutilleul, P. 1 Fujikoshi, Yasunori 1 Gerbing, David 1 Green, Donald 1 Gu, Chaojun 1 Henly, Susan 1 Jalal, Siavash 1 Jamshidian, Mortaza 1 Jirutitijaroen, Panida 1 Kiiveri, H. 1 Klebe, Kelli 1 Liang, Jiajuan 1 Manceur, A.M. 1 Muthén, Bengt 1 Ogasawara, Haruhiko 1 Palmquist, Bradley 1 Roy, Anuradha 1 Shapiro, A. 1
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Institution
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Department of Economics, Concordia University 1 Institute for the Study of Labor (IZA) 1
Published in...
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Psychometrika 21 IZA Discussion Papers 2 Journal of Multivariate Analysis 2 Statistics & Probability Letters 2 Studies in Nonlinear Dynamics & Econometrics 2 Economics Letters 1 Journal of Applied Statistics 1 Journal of Classification 1 Journal of Educational and Behavioral Statistics 1 Renewable Energy 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1 Working Papers / Department of Economics, Concordia University 1
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Source
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RePEc 35 EconStor 1
Showing 1 - 10 of 36
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Comment on the Asymptotics of a Distribution-Free Goodness of Fit Test Statistic
Browne, Michael; Shapiro, Alexander - In: Psychometrika 80 (2015) 1, pp. 196-199
In a recent article Jennrich and Satorra (Psychometrika 78: 545–552, <CitationRef CitationID="CR2">2013</CitationRef>) showed that a proof by Browne (British Journal of Mathematical and Statistical Psychology 37: 62–83, <CitationRef CitationID="CR1">1984</CitationRef>) of the asymptotic distribution of a goodness of fit test statistic is incomplete because it fails to prove...</citationref></citationref>
Persistent link: https://www.econbiz.de/10011241347
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Using firm optimization to evaluate and estimate returns to scale
Gorodnichenko, Yuriy - 2008
At the firm level, revenue and costs are well measured but prices and quantities are not. This paper shows that because of these data limitations estimates of returns to scale at the firm level are for the revenue function, not production function. Given this observation, the paper argues that,...
Persistent link: https://www.econbiz.de/10010268849
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Using Firm Optimization to Evaluate and Estimate Returns to Scale
Gorodnichenko, Yuriy - Institute for the Study of Labor (IZA) - 2008
, identification, returns to scale, covariance structures Corresponding author: Yuriy Gorodnichenko Department of Economics …. The key idea of the estimator is to use the covariance structures for the firms’ observed optimizing choices (inputs … have somewhat better performance in estimating covariance structures in finite samples (see e.g. Clark 1996). It is …
Persistent link: https://www.econbiz.de/10005822822
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Solar irradiance forecasting using spatial-temporal covariance structures and time-forward kriging
Yang, Dazhi; Gu, Chaojun; Dong, Zibo; Jirutitijaroen, Panida - In: Renewable Energy 60 (2013) C, pp. 235-245
Electricity power grid operations require information about demand and supply on a variety of timescales and areas. The advent of significant generation contributions by time variable renewable energy sources means that forecasting methods are increasingly required. Some of the earliest...
Persistent link: https://www.econbiz.de/10010804469
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Unbiased modified likelihood ratio tests for simple and double separability of a variance–covariance structure
Manceur, A.M.; Dutilleul, P. - In: Statistics & Probability Letters 83 (2013) 2, pp. 631-636
We present modified likelihood ratio tests (LRTs) for simple and double separability of a variance–covariance structure, unbiased in finite samples. The modification is a penalty-based homothetic transformation of the LRT statistic. Optimal penalties, depending on the mean model, contain novel...
Persistent link: https://www.econbiz.de/10010602924
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Second order bias of quasi-MLE for covariance structure models
Prokhorov, Artem - In: Economics Letters 114 (2012) 2, pp. 195-197
For covariance structure models, the QMLE second-order bias is derived and compared with EL and GMM. Surprisingly, QMLE and EL have the same second-order bias if QMLE and GMM(EL) are equally first-order efficient. Other examples favoring QMLE are given.
Persistent link: https://www.econbiz.de/10010572241
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Second Order Bias of Quasi-MLE for Covariance Structure Models
Prokhorov, Artem - Department of Economics, Concordia University - 2010
Several recent papers (e.g., Newey et al., 2005; Newey and Smith, 2004; Anatolyev, 2005) derive general expressions for the second-order bias of the GMM estimator and its first-order equivalents such as the EL estimator. Except for some simulation evidence, it is unknown how these compare to the...
Persistent link: https://www.econbiz.de/10008487473
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Tests of Homoscedasticity, Normality, and Missing Completely at Random for Incomplete Multivariate Data
Jamshidian, Mortaza; Jalal, Siavash - In: Psychometrika 75 (2010) 4, pp. 649-674
Persistent link: https://www.econbiz.de/10008775718
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Asymptotic normality of test statistics under alternative hypotheses
Shapiro, Alexander - In: Journal of Multivariate Analysis 100 (2009) 5, pp. 936-945
covariance structures are discussed in detail. …
Persistent link: https://www.econbiz.de/10005153137
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Computation aspects of the parameter estimates of linear mixed effects model in multivariate repeated measures set-up
Roy, Anuradha - In: Journal of Applied Statistics 35 (2008) 3, pp. 307-320
The number of parameters mushrooms in a linear mixed effects (LME) model in the case of multivariate repeated measures data. Computation of these parameters is a real problem with the increase in the number of response variables or with the increase in the number of time points. The problem...
Persistent link: https://www.econbiz.de/10005495290
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