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  • Search: subject:"Newton–Raphson algorithm"
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Year of publication
Subject
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Newton-Raphson algorithm 5 Microanalyses 3 Microdata Adjustment 3 Microsimulation 3 Minimum Information Loss 3 PC program package ADJUST 3 EM algorithm 2 Modified Newton- Raphson Algorithm 2 Newton–Raphson algorithm 2 Akaike's information criterion 1 Clustered data 1 Conditional maximum likelihood estimation 1 Cox proportional hazards model 1 EM-type algorithms 1 Hochrechnung von Mikrodaten 1 Information 1 Logistic regression 1 Longitudinal data 1 Maximum likelihood estimation 1 Mikroanalysen 1 Mikrozensus 1 Minimaler Informationsverlust 1 Modified Newton-Raphson Algorithm 1 Modifizierter Newton-Raphson Algorithmus 1 Optimal QLB algorithm 1 PC-Programmpaket ADJUST 1 Power flow 1 QLB algorithm 1 Reliability 1 Schätztheorie 1 Static compensator (STATCOM) 1 Statische Mikrosimulation 1 Theorie 1 Voltage stability 1 Weibull distribution 1 Wind generator 1 algorithms 1 categorical data analysis 1 curvature 1 list experiment 1
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Online availability
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Free 5 Undetermined 5
Type of publication
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Article 5 Book / Working Paper 5
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
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Undetermined 7 English 3
Author
All
Merz, Joachim 3 Aouzellag, D. 1 Bartolucci, Francesco 1 Böhning, Dankmar 1 Emura, Takeshi 1 Jackson, Jonathan 1 Kuha, Jouni 1 Lahaçani, N. Aouzellag 1 Lee, Sik-Yum 1 Lindsay, Bruce 1 Liu, Chunling 1 Mendil, B. 1 Pigini, Claudia 1 Poon, Wai-Yin 1 Shiu, Shau-Kai 1 Tang, Man-Lai 1 Tian, Guo-Liang 1 Valentini, Francesco 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2 Forschungsinstitut Freie Berufe, Fakultät Wirtschaftswissenschaften 1 London School of Economics (LSE) 1
Published in...
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MPRA Paper 2 Annals of the Institute of Statistical Mathematics 1 Computational Statistics & Data Analysis 1 Computational economics 1 FFB Diskussionspapier 1 FFB-Discussionpaper 1 LSE Research Online Documents on Economics 1 Psychometrika 1 Renewable Energy 1
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Source
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RePEc 8 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 10 of 10
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Recursive computation of the conditional probability function of the quadratic exponential model for binary panel data
Bartolucci, Francesco; Valentini, Francesco; Pigini, Claudia - In: Computational economics 61 (2023) 2, pp. 529-557
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014228451
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Estimation and model selection for left-truncated and right-censored lifetime data with application to electric power transformers analysis
Emura, Takeshi; Shiu, Shau-Kai - Volkswirtschaftliche Fakultät, … - 2014
algorithm. In this paper, the first objective is a systematic comparison of the EM algorithm with the Newton-Raphson algorithm … algorithm. However, it is not clear whether the EM algorithm offers a better solution compared to the simpler Newton-Raphson …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011110797
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The item count method for sensitive survey questions: modelling criminal behaviour
Kuha, Jouni; Jackson, Jonathan - London School of Economics (LSE) - 2014
The item count method is a way of asking sensitive survey questions which protects the anonymity of the respondents by randomization before the interview. It can be used to estimate the probability of sensitive behaviour and to model how it depends on explanatory variables. We analyse item count...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011126671
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Accelerating the quadratic lower-bound algorithm via optimizing the shrinkage parameter
Tian, Guo-Liang; Tang, Man-Lai; Liu, Chunling - In: Computational Statistics & Data Analysis 56 (2012) 2, pp. 255-265
When the Newton–Raphson algorithm or the Fisher scoring algorithm does not work and the EM-type algorithms are not …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011056438
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Static compensator for maintaining voltage stability of wind farm integration to a distribution network
Lahaçani, N. Aouzellag; Aouzellag, D.; Mendil, B. - In: Renewable Energy 35 (2010) 11, pp. 2476-2482
Electricity generation from wind has grown sharply and its growth potential is still significant. However, the decentralized nature of the wind opposes the historically centralized structure of national networks. Unlike conventional sources, wind does not provide reactive power, which is...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010804596
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Microdata adjustment by the minimum information loss principle
Merz, Joachim - 1994
Microdata have become increasingly important for economic and social analyses. One striking problem with almost any practical analysis of microdata, microdata as a singular cross or longitudinal sample or within (static) microsimulation, is to achieve representative results. In this study a...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010290113
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Microdata Adjustment by the Minimum Information Loss Principle
Merz, Joachim - Volkswirtschaftliche Fakultät, … - 1994
Microdata have become increasingly important for economic and social analyses. One striking problem with almost any practical analysis of microdata, microdata as a singular cross or longitudinal sample or within (static) microsimulation, is to achieve representative results. In this study a...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005619520
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Cover Image
Microdata Adjustment by the Minimum Information Loss Principle
Merz, Joachim - Forschungsinstitut Freie Berufe, Fakultät … - 1994
Microdata have become increasingly important for economic and social analyses. One striking problem with almost any practical analysis of microdata, microdata as a singular cross or longitudinal sample or within (static) microsimulation, is to achieve representative results. In this study a...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10008493972
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Monotonicity of quadratic-approximation algorithms
Böhning, Dankmar; Lindsay, Bruce - In: Annals of the Institute of Statistical Mathematics 40 (1988) 4, pp. 641-663
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005616358
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Maximum likelihood estimation of polyserial correlations
Lee, Sik-Yum; Poon, Wai-Yin - In: Psychometrika 51 (1986) 1, pp. 113-121
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005166367
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