Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/291868| Title: | Test of exponentiality with shift based on conditional distribution relative to sufficient statistics |
| Authors: | Zorine, A. V. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2022 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIII Intern. Conf., Minsk, Sept. 6–10, 2022 / Belarusian State University ; eds.: Yu. Kharin [et al.]. – Minsk : BSU, 2022. – Pp. 237-240. |
| Abstract: | Goodness-of-fit tests for composite hypotheses is an open research topic in statistics. Basically, there are two strategies to construct such a test. One strategy relies on parameter estimation and Monte-Carlo technique to obtain p-values, the other technique searches for characterizations of parametric distribution families and constructs a test statistic from such a characterization. In this talk we discuss and construct a goodness-of-fit test based on the conditional distribution of the sample given sufficient statistics, for the exponential distribution with a shift with both parameters unknown |
| URI: | https://elib.bsu.by/handle/123456789/291868 |
| ISBN: | 978-985-881-420-5 |
| Licence: | info:eu-repo/semantics/restrictedAccess |
| Appears in Collections: | 2022. Computer Data Analysis and Modeling: Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 237-240.pdf | 354,06 kB | Adobe PDF | View/Open |
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