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  • Search: subject:"E-M algorithm"
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Subject
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E-M algorithm 7 Cluster analysis 3 Marketing trade shows 2 Maximum likelihood estimation 2 Multiple regression 2 Capital imports 1 Capital inflow 1 Capital mobility 1 Choice data 1 Compositional data 1 Dynamic programming 1 Dynamic programming principle 1 Dynamic terms of trade 1 Dynamische Optimierung 1 E–M algorithm 1 Financial crisis 1 Finanzkrise 1 Finite mixture distributions 1 Heterogeneity 1 Humanities 1 Interest rate 1 Interest rate determination 1 Kapitalimport 1 Kapitalmobilität 1 Latent class 1 Latent class analysis 1 Likert-scale 1 Multidimensional scaling 1 Philosophy 1 Portfolio selection 1 Portfolio theory 1 Portfolio-Management 1 Preference statements 1 Preferences 1 Statistics 1 Terms of Trade 1 Terms of trade 1 Theorie 1 Theory 1 Zins 1
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Undetermined 7 Free 1
Type of publication
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Article 8
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 6 English 2
Author
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Breffle, William 2 DeSarbo, Wayne 2 DeSarbo, Wayne S. 2 Morey, Edward 2 Ramaswamy, Venkatram 2 Thacher, Jennifer 2 Anderson, Eugene W. 1 Basak, Gopal Krishna 1 Cron, William 1 Cron, William L. 1 Lenk, Peter 1 Pranab Kumar Das 1 Rachev, S. T. 1 Rohit, Allena 1 SenGupta, A. 1
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Published in...
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Environmental & Resource Economics 2 Journal of Classification 2 Management Science 2 Economic modelling 1
Source
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RePEc 6 BASE 1 ECONIS (ZBW) 1
Showing 1 - 8 of 8
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Capital inflow-terms of trade "nexus" : Does it lead to financial crisis?
Basak, Gopal Krishna; Pranab Kumar Das; Rohit, Allena - In: Economic modelling 65 (2017), pp. 18-29
Persistent link: https://www.econbiz.de/10011813544
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A Joint Latent-Class Model: Combining Likert-Scale Preference Statements With Choice Data to Harvest Preference Heterogeneity
Breffle, William; Morey, Edward; Thacher, Jennifer - In: Environmental & Resource Economics 50 (2011) 1, pp. 83-110
Persistent link: https://www.econbiz.de/10009327735
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Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model
Morey, Edward; Thacher, Jennifer; Breffle, William - In: Environmental & Resource Economics 34 (2006) 1, pp. 91-115
estimated as function of observable characteristics of the individual. Estimation is with the expectation–maximization (E–M …) algorithm, a technique new to environmental economics that can be used to do maximum-likelihood estimation with incomplete …
Persistent link: https://www.econbiz.de/10005681067
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A maximum likelihood methodology for clusterwise linear regression
DeSarbo, Wayne S.; Cron, William L. - 1988
methodology is introduced together with the E-M algorithm utilized for parameter estimation. A Monte Carlo analysis is performed …
Persistent link: https://www.econbiz.de/10009476646
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A Disaggregate Negative Binomial Regression Procedure for Count Data Analysis
Ramaswamy, Venkatram; Anderson, Eugene W.; DeSarbo, Wayne S. - In: Management Science 40 (1994) 3, pp. 405-417
groups cross-sections while estimating a separate negative binomial regression model for each group. An E-M algorithm is …
Persistent link: https://www.econbiz.de/10009208525
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A latent class procedure for the structural analysis of two-way compositional data
DeSarbo, Wayne; Ramaswamy, Venkatram; Lenk, Peter - In: Journal of Classification 10 (1993) 2, pp. 159-193
Persistent link: https://www.econbiz.de/10005602941
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Laplace-Weibull Mixtures for Modeling Price Changes
Rachev, S. T.; SenGupta, A. - In: Management Science 39 (1993) 8, pp. 1029-1038
B. Mandelbrot and E. Fama in the sixties, and W. Ziemba in the seventies, suggested stable laws for modeling stock returns and commodity prices. Geometric stable distributions, with Laplace distribution playing the role of a "normal" law, have been found to give better fit to such data. We study...
Persistent link: https://www.econbiz.de/10009191127
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A maximum likelihood methodology for clusterwise linear regression
DeSarbo, Wayne; Cron, William - In: Journal of Classification 5 (1988) 2, pp. 249-282
Persistent link: https://www.econbiz.de/10005602909
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