A Comparison of Three Methods for Calculating Lower Confidence Limits on System Reliability Using Binomial Component Data

1985 ◽  
Vol R-34 (2) ◽  
pp. 113-120 ◽  
Author(s):  
H. F. Martz ◽  
B. S. Duran
Keyword(s):  
System Reliability ◽  
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.

Confidence Limits for System Reliability: A Sequential Method

1971 ◽  
Vol R-20 (4) ◽  
pp. 204-211 ◽  
Author(s):  
Alan Winterbottom ◽  
John L. Verrall
Keyword(s):  
System Reliability ◽  
Confidence Limits ◽  
Sequential Method
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