Home
Sharp Inequalities for Ordered Random Variables Statistics and Reliability: Volume I: Standard Order
Barnes and Noble
Sharp Inequalities for Ordered Random Variables Statistics and Reliability: Volume I: Standard Order
Current price: $159.99
Barnes and Noble
Sharp Inequalities for Ordered Random Variables Statistics and Reliability: Volume I: Standard Order
Current price: $159.99
Size: Hardcover
Loading Inventory...
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Barnes and Noble
The book discusses various inequalities and sharp bounds for the usual order statistics as well as some functions of them. In particular, deterministic bounds, bounds for the case of IID samples from general, symmetric and life distributions, IID samples from shape restricted family of distributions, and samples from finite populations are all discussed in detail. An elaborate numerical evaluation and comparison of various bounds are also presented in order to illustrate their inherent differences as well as their precision. Furthermore, their applications to inference, reliability theory and characterizations are also highlighted.
The book provides an in-depth exposure to various mathematical inequalities and bounds established historically as well as in recent years and their applications to order statistics and some important functions of them. It thus presents an up-to-date discussion of all results in this important area of mathematical and statistical research. The results described here are general in nature and therefore could be useful in other areas of Probability and Statistics as well.
The book provides an in-depth exposure to various mathematical inequalities and bounds established historically as well as in recent years and their applications to order statistics and some important functions of them. It thus presents an up-to-date discussion of all results in this important area of mathematical and statistical research. The results described here are general in nature and therefore could be useful in other areas of Probability and Statistics as well.