Some Bivariate Distributions for Modeling the Strength Properties of Lumber

Some Bivariate Distributions for Modeling the Strength Properties of Lumber
Author: Richard Arnold Johnson
Publisher:
Total Pages: 16
Release: 1999
Genre: Distribution (Probability theory)
ISBN:

Accurate modeling of the joint stochastic nature of the strength properties of dimension lumber is essential to the determination of reliability-based design safety factors. This report reviews the major techniques for obtaining bivariate distributions and then discusses bivariate distributions whose marginal distributions suggest they might be useful for modeling the joint distribution of two strength properties. Finally, we pick a bivariate Weibull distribution and show that we can write its likelihood function under a proof loading scheme, offering the possibility that it can be used to model the joint distribution of two properties that must each be measured using a destructive test.

Continuous Bivariate Distributions

Continuous Bivariate Distributions
Author: N. Balakrishnan
Publisher: Springer Science & Business Media
Total Pages: 714
Release: 2009-05-31
Genre: Mathematics
ISBN: 0387096140

Along with a review of general developments relating to bivariate distributions, this volume also covers copulas, a subject which has grown immensely in recent years. In addition, it examines conditionally specified distributions and skewed distributions.

Probabilities and Materials

Probabilities and Materials
Author: D. Breysse
Publisher: Springer Science & Business Media
Total Pages: 536
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 9401111421

Most industrial and natural materials exhibit a macroscopic behaviour which results from the existence of microscale inhomogeneities. The influence of such inhomogeneities is commonly modelled using probabilistic methods. Most of the approaches to the evaluation of the safety of structures according to probabilistic criteria are somewhat scattered, however, and it is time to present such material in a coherent and up-to-date form. Probabilities and Materials undertakes this task, and also defines the great tasks that must be tackled in coming years. For engineers and researchers dealing with materials, geotechnics, solid mechanics, soil mechanics, statistics and stochastic processes. The expository nature of the book means that no prior knowledge of statistics or probability is required of the reader. The book can thus serve as an excellent introduction to the nature of applied statistics and stochastic modelling.

Recent Advances in Reliability Theory

Recent Advances in Reliability Theory
Author: N. Limnios
Publisher: Springer Science & Business Media
Total Pages: 515
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1461213843

This book presents thirty-one extensive and carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of the latest developments and innovative techniques in a wide range of theoretical and numerical issues in the field of statistical and probabilistic methods in reliability.