| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045894961 | |
| 005 | 20170214175135 | |
| 008 | 170214s2016 nyua b 001 0 eng d | |
| 010 | ▼a 2016028353 | |
| 020 | ▼a 9781107149892 (hbk. : alk. paper) | |
| 035 | ▼a (KERIS)REF000018173958 | |
| 040 | ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a QA276.4 ▼b .E376 2016 |
| 082 | 0 0 | ▼a 519.50285 ▼2 23 |
| 084 | ▼a 519.50285 ▼2 DDCK | |
| 090 | ▼a 519.50285 ▼b E27c | |
| 100 | 1 | ▼a Efron, Bradley. |
| 245 | 1 0 | ▼a Computer age statistical inference : ▼b algorithms, evidence, and data science / ▼c Bradley Efron, Stanford University, California, Trevor Hastie, Stanford University, California. |
| 260 | ▼a New York, NY : ▼b Cambridge University Press, ▼c c2016. | |
| 300 | ▼a xix, 475 p. : ▼b ill. (chiefly col.) ; ▼c 24 cm. | |
| 490 | 1 | ▼a Institute of Mathematical Statistics monographs |
| 504 | ▼a Includes bibliographical references and indexes. | |
| 650 | 0 | ▼a Mathematical statistics ▼x Data processing. |
| 700 | 1 | ▼a Hastie, Trevor. |
| 830 | 0 | ▼a Institute of Mathematical Statistics monographs. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고7층/ | 청구기호 519.50285 E27c | 등록번호 111787828 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. 2 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 519.50285 E27c | 등록번호 121239154 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고7층/ | 청구기호 519.50285 E27c | 등록번호 111787828 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 519.50285 E27c | 등록번호 121239154 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
Part I. Classic Statistical Inference: -- 1. Algorithms and inference -- 2. Frequentist inference -- 3. Bayesian inference -- 4. Fisherian inference and maximum likelihood estimation -- 5. Parametric models and exponential families -- Part II. Early Computer-Age Methods: -- 6. Empirical Bayes -- 7. James–Stein estimation and ridge regression -- 8. Generalized linear models and regression trees -- 9. Survival analysis and the EM algorithm -- 10. The jackknife and the bootstrap -- 11. Bootstrap confidence intervals -- 12. Cross-validation and Cp estimates of prediction error --13. Objective Bayes inference and Markov chain Monte Carlo --14. Statistical inference and methodology in the postwar era -- Part III. Twenty-First Century Topics: -- 15. Large-scale hypothesis testing and false discovery rates -- 16. Sparse modeling and the lasso -- 17. Random forests and boosting -- 18. Neural networks and deep learning -- 19. Support-vector machines and kernel methods -- 20. Inference after model selection -- 21. Empirical Bayes estimation strategies -- Epilogue
