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Paper Abstract and Keywords
Presentation 2007-10-19 13:00
Estimation for the sample size in incomplete data cases
Hideo Hirose (Kyushu Inst. of Tech.) R2007-37
Abstract (in Japanese) (See Japanese page) 
(in English) A method to obtain the estimates for parameters and the size of fragile population and their confidence intervals in the trunsored and truncated models is introduced. When the censoring time becomes large, the width of the confidence interval for the size of fragile population in the trunsored model tends to a positive constant value, whereas that in the truncated model tends to zero.
A typical example of the method applied to the case fatality ratio of SARS shows different confidence intervals between the trunsored model and the truncated model.
Keyword (in Japanese) (See Japanese page) 
(in English) trunsored data / truncated data / fragile / durable / confidence interval / case fatality ratio / SARS /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 270, R2007-37, pp. 1-6, Oct. 2007.
Paper # R2007-37 
Date of Issue 2007-10-12 (R) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee R  
Conference Date 2007-10-19 - 2007-10-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reliability, etc. 
Paper Information
Registration To R 
Conference Code 2007-10-R 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation for the sample size in incomplete data cases 
Sub Title (in English)  
Keyword(1) trunsored data  
Keyword(2) truncated data  
Keyword(3) fragile  
Keyword(4) durable  
Keyword(5) confidence interval  
Keyword(6) case fatality ratio  
Keyword(7) SARS  
Keyword(8)  
1st Author's Name Hideo Hirose  
1st Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
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Speaker Author-2 
Date Time 2007-10-19 13:00:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2007-37 
Volume (vol) vol.107 
Number (no) no.270 
Page pp.1-6 
#Pages
Date of Issue 2007-10-12 (R) 


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