The choice of examples used in this text clearly illustrate its use for a one-year graduate course. The material to be presented in the classroom constitutes a little more than half the text, while the rest of the text provides background, offers different routes that could be pursued in the classroom, as well as additional material that is appropriate for self-study. Of particular interest is a presentation of the major central limit theorems via Steins method either prior to or alternative to a characteristic function presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function, with both the bootstrap and trimming presented. The section on martingales covers censored data martingales.
發表於2024-11-23
Probability for Statisticians 2024 pdf epub mobi 電子書 下載
圖書標籤: 數學 for Statisticians Springer Probability 2000
Probability for Statisticians 2024 pdf epub mobi 電子書 下載