Stochastic comparisons with applications [Documento eletrónico] : in order statistics and spacings / by Subhash C. Kochar
Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer International Publishing, 2022Description: XVI, 272 p. : il.ISBN: 978-3-031-12104-3.Subject - Topical Name: Statistics | Probabilities Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA276.SPR FCT (Browse shelf(Opens below)) | 1 | Available | 95767 |
Browsing Biblioteca NOVA FCT shelves, Shelving location: Online, Collection: Não Ficção Close shelf browser (Hides shelf browser)
QA276.SPR FCT Linear model theory, with examples and exercises | QA276.SPR FCT Sampling designs dependent on sample parameters of auxiliary variables | QA276.SPR FCT Time series analysis for the state-space model with r/stan | QA276.SPR FCT Stochastic comparisons with applications, in order statistics and spacings | QA276.SPR FCT Handbook of cognitive mathematics | QA276.SPR FCT Expository moments for pseudo distributions | QA276.SPR FCT Statistical learning of complex data |
This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods. The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics and spacings, including a long chapter on dependence among them. The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians. Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability. .
There are no comments on this title.