Inverse Gaussian Distribution for Modeling the Tensile Strength and Fatigue Life Data of Sn-3.0Ag-0.5-0.5Cu Solder Joint

In this paper, we propose to use inverse Gaussian distribution for modeling the tensile strength and fatigue life data of Sn-3.0Ag-0.5-0.5Cu solder joint. The Kolmogorovsmirnov statistic with its p-value and quantile-quantile plots show the inverse Gaussian fits these data well. Inverse Gaussian mod...

Full description

Saved in:
Bibliographic Details
Published inEngineering letters Vol. 27; no. 4
Main Authors Jia, Junmei, Yan, Zaizai, Peng, Xiuyun
Format Journal Article
LanguageEnglish
Published Hong Kong International Association of Engineers 20.11.2019
Subjects
Fatigue life
Inverse Gaussian probability distribution
Modelling
Soldered joints
Statistical analysis
Tensile strength
Tin base alloys
Online AccessGet full text

Cover

More Information
Summary:In this paper, we propose to use inverse Gaussian distribution for modeling the tensile strength and fatigue life data of Sn-3.0Ag-0.5-0.5Cu solder joint. The Kolmogorovsmirnov statistic with its p-value and quantile-quantile plots show the inverse Gaussian fits these data well. Inverse Gaussian model may statistically analyze on the thermal aging effect of tensile and fatigue SAC305 solder joints.
ISSN:1816-093X
1816-0948