Lower confidence limits of reliability for series system with Poisson components

2011 ◽  
Author(s):  
Lisheng Yang ◽  
Haiying Zheng
Keyword(s):  
Series System ◽  
Confidence Limits ◽  
Lower Confidence

scholarly journals Improved non-parametric statistical methods for the estimation of Michaelis-Menten kinetic parameters by the direct linear plot

1977 ◽  
Vol 161 (2) ◽  
pp. 293-302 ◽  
Author(s):  
W R Porter ◽  
W F Trager
Keyword(s):  
Statistical Methods ◽  
Data Fitting ◽  
Confidence Limits ◽  
Estimated Parameters ◽  
Lower Confidence ◽  
Proper Design ◽  
Linear Plot ◽  
Replicate Measurements ◽  
Menten Kinetic ◽  
Non Parametric

The theoretical basis for the direct linear plot [Eisenthal & Cornish-Bowden (1974) Biochem. J. 139, 715-720], a non-parametric statistical method for the analysis of data-fitting the Michaelis-Menten equation, was reinvestigated in order to accommodate additional experimental designs and to provide estimates of precision more directly comparable with those obtained by parametric statistical methods. Methods are given for calculating upper and lower confidence limits for the estimated parameters, for accommodating replicate measurements and for comparing the results of two separate experiments. Factors that influence the proper design of experiments are discussed.

Bootstrap Lower Confidence Limits of Superstructure Process Capability Indices for Esscher-Transformed Laplace Distribution

2017 ◽  
Vol 32 (2) ◽  
Author(s):  
Sebastian George ◽  
Ajitha Sasi
Keyword(s):  
Comparative Study ◽  
Process Capability ◽  
Laplace Distribution ◽  
Process Capability Indices ◽  
Confidence Limits ◽  
Super Structure ◽  
Lower Confidence ◽  
Capability Indices

AbstractThis article is a comparative study between the parametric asymptotic lower confidence limits and bootstrap lower confidence limits for the basic quantile based process capability indices based on the unified super-structure

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