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  • Search: subject:"Nonlinear least squares estimators"
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Year of publication
Subject
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Convergence of moments 1 Econometrics 1 Estimation 1 Estimation theory 1 Induktive Statistik 1 Kernel density 1 Long memory 1 Mean-squared prediction errosrs 1 Nichtparametrisches Verfahren 1 Non-parametric inference 1 Nonlinear least squares estimators 1 Nonparametric statistics 1 Schätztheorie 1 Schätzung 1 Seasonality 1 Statistical distribution 1 Statistical inference 1 Statistische Verteilung 1 empirical analogue of Rao's score 1 empirical likelihood 1 hypotheses testing in nonparametric case 1 nonlinear least squares estimators 1 Ökonometrie 1
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Online availability
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Free 1
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Katayama, Naoya 1 Kumar, T. Krishna 1 Markmann, Joseph M. 1
Institution
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Institute of Economic Research, Hitotsubashi University 1
Published in...
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Hi-Stat Discussion Paper Series 1 Journal of quantitative economics : official journal of the Indian Econometric Society 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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Asymptotic Prediction Mean Squared Error for Strongly Dependent Processes with Estimated Parameters
Katayama, Naoya - Institute of Economic Research, Hitotsubashi University - 2004
relating to convergence of moments of the nonlinear least squares estimators, we evaluate the asymptotic prediction mean …
Persistent link: https://www.econbiz.de/10005650682
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Cover Image
Importance of non-parametric density estimation in econometrics with illustrations
Kumar, T. Krishna; Markmann, Joseph M. - In: Journal of quantitative economics : official journal of … 9 (2011) 1, pp. 18-40
Persistent link: https://www.econbiz.de/10010337923
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