WEIBULL MODELS FOR THE STATISTICAL-ANALYSIS OF DENTAL COMPOSITE DATA - AGED IN PHYSIOLOGICAL MEDIA AND CYCLIC-FATIGUED

被引：35
作者：
DRUMMOND, JL
MIESCKE, KJ
机构：
[1] Department of Mathematics, Statistics, Computer Science University of Illinois at Chicago, Chicago, IL 60612
来源：
DENTAL MATERIALS | 1991年 / 7卷 / 01期
关键词：
D O I：
10.1016/0109-5641(91)90022-Q
中图分类号：
R78 [口腔科学];
学科分类号：
1003 ;
摘要：
The modulus of rupture or flexural strength of dental composites aged in distilled water and saline solution or cyclic-fatigued to fracture in distilled water was analyzed by use of Weibull statistics. Two- and three-parameter Weibull models were applied to the data. For the case of the dental composites aged for five distinct time periods, the most appropriate model was a two-parameter Weibull model for each separate aging time. For the cyclic-fatigue data, a three-parameter accelerated failure time model with a Weibull baseline distribution and scale parameter, depending on the variable cycle, was appropriate.
引用
收藏
页码：25 / 29
页数：5
相关论文
共 12 条
  • [1] Bickel, Doksum, Mathematical Statistics, pp. 228-229, (1977)
  • [2] De Rijk, Penn, Tesk, Zapas, Dental Composites: Strength Properties via Weibull Statistics, Transactions, Third World Biomaterials Congress, (1988)
  • [3] De Rijk, Tesk, The Distribution of Failure Stresses in Porcelain to Metal Systems, J Dent Res, 65, (1986)
  • [4] De Rijk, Tesk, Penn, Marsh, Applications of the Weibull Method to Statistical Analysis of Strength Parameters of Dental Materials, Proceedings of the Symposium on Progress in Biomedical Polymers, (1988)
  • [5] Drummond, Cyclic Fatigue of Composite Restorative Materials, J Oral Rehabil, 16, pp. 509-520, (1989)
  • [6] Drummond, Khalaf, Randolph, In vitro Aging of Composite Restorative Materials, Clin Mater, 3, pp. 209-221, (1988)
  • [7] Johnson, Kotz, Continuous Univariate Distributions, 1, pp. 250-271, (1970)
  • [8] Kalbfleisch, Prentice, The Statistical Analysis of Failure Time Data, pp. 21-38, (1980)
  • [9] McCabe, Carrick, A Statistical Approach to the Mechanical Testing of Dental Materials, Dent Mater, 2, pp. 139-142, (1986)
  • [10] Ross, Introduction to Probability and Statistics for Engineers and Scientists, pp. 396-399, (1987)
12