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  • Search: subject:"Binary response data"
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Subject
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binary response data 2 ANN 1 Armed forces 1 Artificial intelligence 1 Binary response data 1 FDI equation 1 Forecasting model 1 Künstliche Intelligenz 1 Militär 1 Neural networks 1 Neuronale Netze 1 Prognoseverfahren 1 Theorie 1 Theory 1 artificial neural networks 1 biological assay 1 count data 1 dose response curve model 1 elastic net 1 generalized estimating equations 1 lasso 1 least squares estimate 1 maximum likelihood estimate 1 minimum contrast estimate 1 nonlinear models 1 quasi-maximum likelihood estimation 1 ridge 1 slowly varying function 1 spatial dependence 1 three-parameter distribution 1
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
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Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
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English 2 Undetermined 1
Author
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Ha, Il Do 1 Kim, Jong-Min 1 Lee, Chae-Shin 1 Li, Chuwen 1 Lu, Cuicui 1 Nakamura, Tadashi 1 Wang, Weining 1 Wooldridge, Jeffrey M. 1
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Annals of the Institute of Statistical Mathematics 1 IRTG 1792 Discussion Paper 1 International journal of productivity and quality management : IJPQM 1
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
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Using generalized estimating equations to estimate nonlinear models with spatial data
Lu, Cuicui; Wang, Weining; Wooldridge, Jeffrey M. - 2020
model and a Negative Binomial II model for count data and a Probit model for binary response data to demonstrate the GEE … and binary response data. Finally we apply the GEE approach to study the determinants of the inflow foreign direct …
Persistent link: https://www.econbiz.de/10012433261
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Machine learning techniques applied to US army and navy data
Kim, Jong-Min; Li, Chuwen; Ha, Il Do - In: International journal of productivity and quality … 29 (2020) 2, pp. 149-166
Persistent link: https://www.econbiz.de/10012200353
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On the existence of minimum contrast estimates in binary response model
Nakamura, Tadashi; Lee, Chae-Shin - In: Annals of the Institute of Statistical Mathematics 45 (1993) 4, pp. 741-758
Persistent link: https://www.econbiz.de/10005616289
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