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Essays in Respondent Driven Sampling and Interpretable Machine Learning
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Essays in Respondent Driven Sampling and Interpretable Machine Learning. |
| 개인저자 | Khusainova, Elena. |
| 단체저자명 | Yale University. Statistics and Data Science. |
| 발행사항 | [S.l.]: Yale University., 2020. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2020. |
| 형태사항 | 126 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-03B. Dissertation Abstract International |
| ISBN | 9798538102570 |
| 학위논문주기 | Thesis (Ph.D.)--Yale University, 2020. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Advisor: Pollard, David B. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Statistics. Sample size. Normal distribution. Discount coupons. Seeds. Athletic recruitment. Variables. Approximation. Researchers. Probability. Essays. Methods. Algorithms. Confidence intervals. Markov analysis. Bias. Statistical analysis. |
| 언어 | 영어 |
| 바로가기 | 
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