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  • Search: subject:"Nonparametric Smoothing"
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Year of publication
Subject
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nonparametric smoothing 15 Nonparametric smoothing 14 Nichtparametrisches Verfahren 8 Nonparametric statistics 7 Estimation theory 5 Schätztheorie 5 Estimation 4 Fertility forecasting 4 Lee-Carter method 4 Schätzung 4 Asian demography 3 Demand-satiation 3 Functional principal component analysis 3 Mortality 3 Mortality forecasting 3 Regression analysis 3 Regressionsanalyse 3 Theorie 3 engel curves 3 mortality forecasting 3 principal components 3 structural change 3 Categorical variables 2 Common trend 2 Control chart 2 Forecasting model 2 Hyndman-Ullah method 2 Lee-Carter model 2 Local maximum likelihood 2 Multi-populations 2 Nonparametric Smoothing 2 Parametric modeling 2 Prognoseverfahren 2 Sterblichkeit 2 Stochastic frontier models 2 Technical efficiency 2 Technische Effizienz 2 Theory 2 Truncated regression 2 Zeitreihenanalyse 2
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Online availability
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Free 19 Undetermined 10
Type of publication
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Book / Working Paper 20 Article 13
Type of publication (narrower categories)
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Working Paper 7 Article in journal 5 Aufsatz in Zeitschrift 5 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3 research-article 1
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Language
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English 18 Undetermined 14 German 1
Author
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Fang, Lei 5 Booth, Heather 3 Chai, Andreas 3 Gerolimetto, Margherita 3 Hyndman, Rob J 3 Magrini, Stefano 3 Moneta, Alessio 3 Steland, Ansgar 3 Härdle, Wolfgang 2 Härdle, Wolfgang Karl 2 Jong, Piet de 2 Park, Juhyun 2 Simar, Léopold 2 Tickle, Leonie 2 Zelenyuk, Valentin 2 Al-Shboul, Q. M. 1 Augustin, Thomas 1 Bowman, Adrian W. 1 Cai, Zongwu 1 Chen, Rong 1 Cheng, Ming-Yen 1 Crujeiras, Rosa M. 1 Delicado, Pedro 1 Dokumentov, Alexander 1 Einbeck, Jochen 1 Green, Carl 1 Haerdle, Wolfgang 1 Hyndman, Rob 1 Hyndman, Rob J. 1 Härdle, Wolfgang K. 1 Janosky, J. E. 1 Jerison, Michael 1 Justel, Ana 1 Li, Qi 1 Liu, Jun M. 1 Mangalova, Ekaterina 1 Park, Byeong 1 Park, Byeong U. 1 Pellitieri, T. R. 1 Rodríguez, Juan Gabriel 1
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Institution
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Department of Econometrics and Business Statistics, Monash Business School 4 Dipartimento di Economia, Università Ca' Foscari Venezia 2 Department of Economics and Business, Universitat Pompeu Fabra 1 Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Instituto de Estudios Fiscales, Ministerio de Economía y Competitividad 1 London School of Economics (LSE) 1 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1 University of Bonn, Germany 1
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Published in...
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Monash Econometrics and Business Statistics Working Papers 4 Jahrbücher für Nationalökonomie und Statistik 2 SFB 649 Discussion Paper 2 SFB 649 discussion paper 2 Working Papers / Dipartimento di Economia, Università Ca' Foscari Venezia 2 Computational Statistics & Data Analysis 1 Demographic Research 1 Discussion Paper 1 Discussion Paper Serie A 1 Econometric reviews 1 Economics Working Papers / Department of Economics and Business, Universitat Pompeu Fabra 1 International journal of forecasting 1 Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) 1 Journal of Productivity Analysis 1 Journal of econometrics 1 Journal of productivity analysis 1 LSE Research Online Documents on Economics 1 Metrika 1 SFB 649 Discussion Papers 1 Statistical Papers / Springer 1 Statistics & Probability Letters 1 Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Working Paper 1 Working Papers / Instituto de Estudios Fiscales, Ministerio de Economía y Competitividad 1 Working papers 1
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Source
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RePEc 20 ECONIS (ZBW) 8 EconStor 4 Other ZBW resources 1
Showing 11 - 20 of 33
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Nonparametric transfer function models
Liu, Jun M.; Chen, Rong; Yao, Qiwei - London School of Economics (LSE) - 2010
In this paper a class of nonparametric transfer function models is proposed to model nonlinear relationships between 'input' and 'output' time series. The transfer function is smooth with unknown functional forms, and the noise is assumed to be a stationary autoregressive-moving average (ARMA)...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010746432
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Convergence analysis as distribution dynamics when data are spatially dependent
Gerolimetto, Margherita; Magrini, Stefano - Dipartimento di Economia, Università Ca' Foscari Venezia - 2010
Conditional distributions for the analysis of convergence are usually estimated using a standard kernel smoother but this is known to be biased. Hyndman et al. (1996) thus suggest a conditional density estimator with a mean function specified by a local polynomial smoother, i.e. one with better...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10008460814
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Nonparametric regression with spatially dependent data
Magrini, Stefano; Gerolimetto, Margherita - Dipartimento di Economia, Università Ca' Foscari Venezia - 2009
In this paper we present a new procedure for nonparametric regression in case of spatially dependent data. In particular, we extend usual local linear regression (along the lines of Martins-Filho and Yao, 2009) and propose a two-step method where information on spatial dependence is incorporated...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10008482046
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Categorical data in local maximum likelihood: theory and applications to productivity analysis
Park, Byeong; Simar, Léopold; Zelenyuk, Valentin - In: Journal of Productivity Analysis 43 (2015) 2, pp. 199-214
In this paper we consider estimation of models popular in efficiency and productivity analysis (such as the stochastic frontier model, truncated regression model, etc.) via the local maximum likelihood method, generalizing this method here to allow for not only continuous but also discrete...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011241952
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Categorical data in local maximum likelihood : theory and applications to productivity analysis
Park, Byeong U.; Simar, Léopold; Zelenyuk, Valentin - In: Journal of productivity analysis 43 (2015) 2, pp. 199-214
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011380319
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Escaping Satiation Dynamics: Some Evidence from British Household Data
Chai, Andreas; Moneta, Alessio - In: Jahrbücher für Nationalökonomie und Statistik 234 (2014) 2-3, pp. 299-327
Summary The tendency of sectoral demand to satiate has long been argued to be a key driver of the structural change in an economy (Pasinetti 1981; Saviotti 2001). This literature raises the question as to what extent cross-sectional patterns of household expenditure can be used to make inferences...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014609510
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Escaping Satiation Dynamics: Some Evidence from British Household Data
Chai, Andreas; Moneta, Alessio - In: Journal of Economics and Statistics (Jahrbuecher fuer … 234 (2014) 2-3, pp. 299-327
The tendency of sectoral demand to satiate has long been argued to be a key driver of the structural change in an economy (Pasinetti 1981; Saviotti 2001). This literature raises the question as to what extent cross-sectional patterns of household expenditure can be used to make inferences about how...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010907961
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Escaping satiation dynamics : some evidence from British household data
Chai, Andreas; Moneta, Alessio - In: Jahrbücher für Nationalökonomie und Statistik 234 (2014) 2/3, pp. 299-327
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010344942
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Stochastic population forecasts using functional data models for mortality, fertility and migration
Hyndman, Rob J; Booth, Heather - Department of Econometrics and Business Statistics, … - 2006
Age-sex-specific population forecasts are derived through stochastic population renewal using forecasts of mortality, fertility and net migration. Functional data models with time series coefficients are used to model age-specific mortality and fertility rates. As detailed migration data are...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005427608
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Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions
Booth, Heather; Hyndman, Rob J; Tickle, Leonie; Jong, … - Department of Econometrics and Business Statistics, … - 2006
We compare the short- to medium-term accuracy of five variants or extensions of the Lee-Carter method for mortality forecasting. These include the original Lee-Carter, the Lee-Miller and Booth-Maindonald-Smith variants, and the more flexible Hyndman-Ullah and De Jong-Tickle extensions. These...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005087612
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