Classical Statistical Inference Extended to Truncated Populations for Continuous Process Improvement: Test Statistics,P-values, and Confidence Intervals-Reference-Cited by-同舟云学术

Classical Statistical Inference Extended to Truncated Populations for Continuous Process Improvement: Test Statistics,P-values, and Confidence Intervals

Published:2014-08-29 Issue:8 Volume:31 Page:1807-1824
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Cha Jinho¹,Cho Byung Rae¹

Affiliation:

1. Department of Industrial Engineering; Clemson University; Clemson SC 29634 USA

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference31 articles.

1. Tables of a truncated standard normal distribution: a singly truncated case;Khasawneh;Quality Engineering,2004

2. Rethinking the truncated normal distribution;Cha;International Journal of Experimental Design and Process Optimisation,2014

3. Gauge capability assessment for high-yield manufacturing processes with truncated distribution;Lai;Quality Engineering,2000

4. A comparative study of various tests for normality;Shapiro;American Statistical Association,1968

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