In building reliability into a system, engineers must address a number of practical needs that will enable them to quantify and compare reliability in engineered systems. (1) One is to be able to compare the reliability of one system to another system. (2) Another practical need is to compare alternate system designs for the purpose of engineering a particular optimal system. The practical, standardized, technical tool for characterizing reliability in systems is system signatures which was created in 1985 and since has developed into a powerful tool for qualifying reliability. It is used...
In building reliability into a system, engineers must address a number of practical needs that will enable them to quantify and compare reliability...
In building reliability into a system, engineers must address a number of practical needs that will enable them to quantify and compare reliability in engineered systems. (1) One is to be able to compare the reliability of one system to another system. (2) Another practical need is to compare alternate system designs for the purpose of engineering a particular optimal system. The practical, standardized, technical tool for characterizing reliability in systems is system signatures which was created in 1985 and since has developed into a powerful tool for qualifying reliability. It is used...
In building reliability into a system, engineers must address a number of practical needs that will enable them to quantify and compare reliability...
The main theme of this monograph is comparative statistical inference. While the topics covered have been carefully selected (they are, for example, restricted to pr- lems of statistical estimation), my aim is to provide ideas and examples which will assist a statistician, or a statistical practitioner, in comparing the performance one can expect from using either Bayesian or classical (aka, frequentist) solutions in - timation problems. Before investing the hours it will take to read this monograph, one might well want to know what sets it apart from other treatises on comparative inference....
The main theme of this monograph is comparative statistical inference. While the topics covered have been carefully selected (they are, for example, r...
Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability
Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is useful for statistics and mathematics majors as well as students in the quantitative sciences. The book s conversational tone, which provides the mathematical justification behind widely used statistical methods in a reader-friendly manner, and the book s many examples, tutorials, exercises and...
Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability
