Conditional limiting distribution of Type III elliptical random vectors
Journal of Multivariate Analysis
Interfaces
On reducing the complexity of tone-reservation based PAPR reduction schemes by compressive sensing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Nonparametric sequential change-point detection by a vertically trimmed box method
IEEE Transactions on Information Theory
Stochastic Modelling and Optimisation of Internet Auction Processes
Electronic Notes in Theoretical Computer Science (ENTCS)
Probabilistically accurate program transformations
SAS'11 Proceedings of the 18th international conference on Static analysis
Random restricted matching and lower bounds for combinatorial optimization
Journal of Combinatorial Optimization
Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures
Constant false alarm rate detector based on the maximal reference cell
Digital Signal Processing
Exploiting constructive interference for scalable flooding in wireless networks
IEEE/ACM Transactions on Networking (TON)
| Hi-index | 0.06 |
Written in a simple style that requires no advanced mathematical or statistical background, A First Course in Order Statistics introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment relations, bounds and approximations, order statistics in statistical inference and characterization results, and basic asymptotic theory. There is also a short introduction to record values and related statistics. This classic text will aid readers in understanding much of the current literature on order statistics, a burgeoning field of study that is a requisite for any practicing statistician and an essential part of the training for students in statistics. The authors have updated the text with suggestions for further reading that readers may use for self-study. Audience This book is intended for advanced undergraduate and graduate students in statistics and mathematics, practicing statisticians, engineers, climatologists, economists, and biologists. Contents Preface to the Classics Edition; Further Reading; Preface; Acknowledgments; Notations and Abbreviations; Errata; Chapter 1: Introduction and Preview; Chapter 2: Basic Distribution Theory; Chapter 3: Discrete Order Statistics; Chapter 4: Order Statistics from Some Specific Distributions; Chapter 5: Moment Relations, Bounds, and Approximations; Chapter 6: Characterizations Using Order Statistics; Chapter 7: Order Statistics in Statistical Inference; Chapter 8: Asymptotic Theory; Chapter 9: Record Values; Bibliography; Author Index; Subject Index.