Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|
E-Books | Biblioteca da FCTUNL | Não Ficção | QA276.SPR FCT 97954 (Browse shelf) | 1 | Available |
Browsing Biblioteca da FCTUNL Shelves , Collection code: Não Ficção Close shelf browser
QA276.SPR FCT 97927 Modern problems of stochastic analysis and statistics | QA276.SPR FCT 97931 Bayesian cost-effectiveness analysis with the R package BCEA | QA276.SPR FCT 97953 Advanced data analysis in neuroscience | QA276.SPR FCT 97954 Mathematical statistics | QA276.SPR FCT 97958 From statistics to mathematical finance | QA276.SPR FCT 97980 Statistical applications for chemistry, manufacturing and controls (CMC) in the pharmaceutical industry | QA276.SPR FCT 97984 Optimization of behavioral, biobehavioral, and biomedical interventions |
Colocação: Online
This book presents a detailed description of the development of statistical theory. In the mid twentieth century, the development of mathematical statistics underwent an enduring change, due to the advent of more refined mathematical tools. New concepts like sufficiency, superefficiency, adaptivity etc. motivated scholars to reflect upon the interpretation of mathematical concepts in terms of their real-world relevance. Questions concerning the optimality of estimators, for instance, had remained unanswered for decades, because a meaningful concept of optimality (based on the regularity of the estimators, the representation of their limit distribution and assertions about their concentration by means of Anderson’s Theorem) was not yet available. The rapidly developing asymptotic theory provided approximate answers to questions for which non-asymptotic theory had found no satisfying solutions. In four engaging essays, this book presents a detailed description of how the use of mathematical methods stimulated the development of a statistical theory. Primarily focused on methodology, questionable proofs and neglected questions of priority, the book offers an intriguing resource for researchers in theoretical statistics, and can also serve as a textbook for advanced courses in statistics.
There are no comments for this item.