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Paper Abstract and Keywords
Presentation 2019-07-26 15:55
More precise fitting of logistic curve model with missing data
Daisuke Satoh, Ryutaro Matsumura (NTT)
Abstract (in Japanese) (See Japanese page) 
(in English) A parameter estimating method based on a logistic curve model with missing data is proposed. Since the model is described by an unequal step difference equation that has an exact solution, the method completely recovers parameters of the difference equation when data are on an exact solution curve. The method makes full use of data without wasting any data or generating plausible data for the missing data. It only requires regression analysis and a simple optimization technique and showed better fitting than two conventional methods for three actual datasets.
Keyword (in Japanese) (See Japanese page) 
(in English) logistic curve model / missing data / unequal step difference equation / exact solution / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 150, R2019-18, pp. 25-29, July 2019.
Paper # R2019-18 
Date of Issue 2019-07-19 (R) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee R  
Conference Date 2019-07-26 - 2019-07-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Ichinoseki Cultural Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reliability Theory, Communication Network Reliability, Reliability General 
Paper Information
Registration To R 
Conference Code 2019-07-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) More precise fitting of logistic curve model with missing data 
Sub Title (in English)  
Keyword(1) logistic curve model  
Keyword(2) missing data  
Keyword(3) unequal step difference equation  
Keyword(4) exact solution  
1st Author's Name Daisuke Satoh  
1st Author's Affiliation NTT (NTT)
2nd Author's Name Ryutaro Matsumura  
2nd Author's Affiliation NTT (NTT)
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Date Time 2019-07-26 15:55:00 
Presentation Time 25 
Registration for R 
Paper # IEICE-R2019-18 
Volume (vol) IEICE-119 
Number (no) no.150 
Page pp.25-29 
#Pages IEICE-5 
Date of Issue IEICE-R-2019-07-19 

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