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  • Search: subject:"Marginal mean"
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Year of publication
Subject
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Estimation theory 2 Marginal mean 2 Regression analysis 2 Regressionsanalyse 2 Schätztheorie 2 62G10 secondary 1 62G20 Association Binary outcomes Clustered data Estimating equation Marginal mean Semiparametric estimation Undersmooth 1 Additive rates model 1 Agrarproduktion 1 Agricultural production 1 Augmented inverse probability weighting 1 Berufsbildung 1 Betriebliches Bildungsmanagement 1 Causal inference 1 Causality analysis 1 Competing risks 1 Contract farming 1 Diagnostic measures 1 Düngemittel 1 Employer-provided training 1 Environmental reporting 1 Estimating equation 1 Estimation 1 Fertility 1 Fertilität 1 Fertilizer 1 Induktive Statistik 1 Informative observation process 1 Kausalanalyse 1 Kleinbauern 1 Marginal mean model 1 Marginal quantile 1 Mathematics 1 Missing at random 1 Model checking 1 Probability theory 1 Productivity 1 Produktivität 1 Proportional hazards model 1 Quantile regression 1
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Online availability
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Undetermined 4 Free 3
Type of publication
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Article 5 Book / Working Paper 1 Other 1
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 4 Undetermined 3
Author
All
Ahearne, Michael 1 Atefi, Yashar 1 Carlson, Brad D. 1 Crisci, Anna 1 D'Souza, Alwin 1 Donavan, D. Todd 1 He, Wenqing 1 Joshi, Pramod Kumar 1 Kim, KyungMann 1 Kumar, Anjani 1 Liang, Hua 1 Ma, Huijuan 1 Maxham, James G., III. 1 Mishra, Ashok K. 1 Pan, Qing 1 Qin, Jing 1 Schaubel, Douglas E. 1 Sun, Jianguo 1 Tripathi, Gaurav 1 Wang, Dehui 1 Yi, Grace Y. 1 Zhang, Haixiang 1 Zhao, Hui 1 Zhou, Yong 1
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Published in...
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Journal of Multivariate Analysis 2 IFPRI discussion paper 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Journal of marketing research : JMR 1 Journal of the Operational Research Society 1
Source
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ECONIS (ZBW) 4 RePEc 2 BASE 1
Showing 1 - 7 of 7
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A note on regression diagnostics for generalized estimating equations : empirical study on environmental disclosure determinants
Crisci, Anna - In: Journal of the Operational Research Society 74 (2023) 4, pp. 1042-1048
Persistent link: https://www.econbiz.de/10014334852
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From conditional quantile regression to marginal quantile estimation with applications to missing data and causal inference
Ma, Huijuan; Qin, Jing; Zhou, Yong - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 4, pp. 1377-1390
Persistent link: https://www.econbiz.de/10014448657
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Contract farming, productivity and fertilizer usage : empirical evidence from specialty crop production
Mishra, Ashok K.; Kumar, Anjani; Joshi, Pramod Kumar; … - 2018
Persistent link: https://www.econbiz.de/10012130884
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Does selective sales force training work?
Atefi, Yashar; Ahearne, Michael; Maxham, James G., III.; … - In: Journal of marketing research : JMR 55 (2018) 5, pp. 722-737
Persistent link: https://www.econbiz.de/10011958188
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Flexible Estimation of Differences in Treatment-Specific Recurrent Event Means in the Presence of a Terminating Event
Pan, Qing; Schaubel, Douglas E. - 2009
ways to model recurrent/terminal event data, the marginal mean (i.e., averaging over the survival distribution) is of …
Persistent link: https://www.econbiz.de/10009476550
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Regression analysis of multivariate panel count data with an informative observation process
Zhang, Haixiang; Zhao, Hui; Sun, Jianguo; Wang, Dehui; … - In: Journal of Multivariate Analysis 119 (2013) C, pp. 71-80
Multivariate panel count data arise in event history studies on recurrent events if there exist several related events and study subjects can be examined or observed only at discrete time points instead of over continuous periods. In these situations, a complicated issue that may arise is that...
Persistent link: https://www.econbiz.de/10010678849
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Analysis of correlated binary data under partially linear single-index logistic models
Yi, Grace Y.; He, Wenqing; Liang, Hua - In: Journal of Multivariate Analysis 100 (2009) 2, pp. 278-290
Clustered data arise commonly in practice and it is often of interest to estimate the mean response parameters as well as the association parameters. However, most research has been directed to address the mean response parameters with the association parameters relegated to a nuisance role....
Persistent link: https://www.econbiz.de/10005221548
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