论文信息 - Statistical Model Selection for TID Hardness Assurance

Statistical Model Selection for TID Hardness Assurance

We investigate model dependence of bounding estimates of TID degradation as a function of sample size and statistical model and develop a method for selecting the model with greatest predictive power.

[1] R. Ladbury,et al. Statistical methods for large flight lots and ultra-high reliability applications , 2005, IEEE Transactions on Nuclear Science.

[2] P. Layton,et al. Compendia of Radiation Test Results , 2007, 2007 IEEE Radiation Effects Data Workshop.

[3] H. Akaike. A new look at the statistical model identification , 1974 .

[4] Huaiyu Zhu. On Information and Sufficiency , 1997 .

[5] R. L. Pease,et al. Hardness assurance implications of bimodal total dose response in a bipolar linear voltage comparator , 1999 .

[6] M. Peruggia. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed.) , 2003 .

[7] N. Sugiura. Further analysts of the data by akaike' s information criterion and the finite corrections , 1978 .

[8] A. I. Namenson. Lot uniformity and small sample sizes in hardness assurance , 1988 .