计算统计学 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "计算统计学" in Chinese language version.

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13doi.org

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5worldcat.org

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4web.archive.org

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3semanticscholar.org

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332^nd place

2jstor.org

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1washacadsci.org

low place

1tandfonline.com

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1york.ac.uk

7,670^th place

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1handle.net

102^nd place

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1osti.gov

2,036^th place

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1nih.gov

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1arxiv.org

69^th place

254^th place

1inria.fr

4,903^rd place

7,274^th place

arxiv.org

Robert, Christian; Casella, George. A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data. Statistical Science. 2011-02-01, 26 (1). ISSN 0883-4237. S2CID 2806098. arXiv:0808.2902 . doi:10.1214/10-sts351 .

doi.org

Lauro, Carlo, Computational statistics or statistical computing, is that the question?, Computational Statistics & Data Analysis, 1996, 23 (1): 191–193, doi:10.1016/0167-9473(96)88920-1
Watnik, Mitchell. Early Computational Statistics. Journal of Computational and Graphical Statistics. 2011, 20 (4): 811–817 [2024-02-06]. ISSN 1061-8600. S2CID 120111510. doi:10.1198/jcgs.2011.204b. （原始内容存档于2023-12-21）（英语）.
"Student" [William Sealy Gosset]. The probable error of a mean (PDF). Biometrika. 1908, 6 (1): 1–25 [2024-02-06]. JSTOR 2331554. doi:10.1093/biomet/6.1.1. hdl:10338.dmlcz/143545. （原始内容存档 (PDF)于2008-03-08）.
Trahan, Travis John. Recent Advances in Monte Carlo Methods at Los Alamos National Laboratory. 2019-10-03. OSTI 1569710. doi:10.2172/1569710.
Metropolis, Nicholas; Ulam, S. The Monte Carlo Method. Journal of the American Statistical Association. 1949, 44 (247): 335–341. ISSN 0162-1459. PMID 18139350. doi:10.1080/01621459.1949.10483310.
Robert, Christian; Casella, George. A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data. Statistical Science. 2011-02-01, 26 (1). ISSN 0883-4237. S2CID 2806098. arXiv:0808.2902 . doi:10.1214/10-sts351 .
Pierre L'Ecuyer. History of uniform random number generation (PDF). 2017 Winter Simulation Conference (WSC). 2017: 202–230 [2024-02-06]. ISBN 978-1-5386-3428-8. S2CID 4567651. doi:10.1109/WSC.2017.8247790. （原始内容存档 (PDF)于2022-08-04）.
QUENOUILLE, M. H. Notes on Bias in Estimation. Biometrika. 1956, 43 (3–4): 353–360. ISSN 0006-3444. doi:10.1093/biomet/43.3-4.353.
Teichroew, Daniel. A History of Distribution Sampling Prior to the Era of the Computer and its Relevance to Simulation. Journal of the American Statistical Association. 1965, 60 (309): 27–49. ISSN 0162-1459. doi:10.1080/01621459.1965.10480773.

dx.doi.org

Trahan, Travis John. Recent Advances in Monte Carlo Methods at Los Alamos National Laboratory. 2019-10-03. OSTI 1569710. doi:10.2172/1569710.
Metropolis, Nicholas; Ulam, S. The Monte Carlo Method. Journal of the American Statistical Association. 1949, 44 (247): 335–341. ISSN 0162-1459. PMID 18139350. doi:10.1080/01621459.1949.10483310.
QUENOUILLE, M. H. Notes on Bias in Estimation. Biometrika. 1956, 43 (3–4): 353–360. ISSN 0006-3444. doi:10.1093/biomet/43.3-4.353.
Teichroew, Daniel. A History of Distribution Sampling Prior to the Era of the Computer and its Relevance to Simulation. Journal of the American Statistical Association. 1965, 60 (309): 27–49. ISSN 0162-1459. doi:10.1080/01621459.1965.10480773.

handle.net

hdl.handle.net

"Student" [William Sealy Gosset]. The probable error of a mean (PDF). Biometrika. 1908, 6 (1): 1–25 [2024-02-06]. JSTOR 2331554. doi:10.1093/biomet/6.1.1. hdl:10338.dmlcz/143545. （原始内容存档 (PDF)于2008-03-08）.

inria.fr

hal.inria.fr

Pierre L'Ecuyer. History of uniform random number generation (PDF). 2017 Winter Simulation Conference (WSC). 2017: 202–230 [2024-02-06]. ISBN 978-1-5386-3428-8. S2CID 4567651. doi:10.1109/WSC.2017.8247790. （原始内容存档 (PDF)于2022-08-04）.

jstor.org

Wegman, Edward J. “Computational Statistics: A New Agenda for Statistical Theory and Practice. （页面存档备份，存于互联网档案馆）” Journal of the Washington Academy of Sciences （页面存档备份，存于互联网档案馆）, vol. 78, no. 4, 1988, pp. 310–322. JSTOR
"Student" [William Sealy Gosset]. The probable error of a mean (PDF). Biometrika. 1908, 6 (1): 1–25 [2024-02-06]. JSTOR 2331554. doi:10.1093/biomet/6.1.1. hdl:10338.dmlcz/143545. （原始内容存档 (PDF)于2008-03-08）.

nih.gov

ncbi.nlm.nih.gov

Metropolis, Nicholas; Ulam, S. The Monte Carlo Method. Journal of the American Statistical Association. 1949, 44 (247): 335–341. ISSN 0162-1459. PMID 18139350. doi:10.1080/01621459.1949.10483310.

osti.gov

Trahan, Travis John. Recent Advances in Monte Carlo Methods at Los Alamos National Laboratory. 2019-10-03. OSTI 1569710. doi:10.2172/1569710.

semanticscholar.org

api.semanticscholar.org

Watnik, Mitchell. Early Computational Statistics. Journal of Computational and Graphical Statistics. 2011, 20 (4): 811–817 [2024-02-06]. ISSN 1061-8600. S2CID 120111510. doi:10.1198/jcgs.2011.204b. （原始内容存档于2023-12-21）（英语）.
Robert, Christian; Casella, George. A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data. Statistical Science. 2011-02-01, 26 (1). ISSN 0883-4237. S2CID 2806098. arXiv:0808.2902 . doi:10.1214/10-sts351 .
Pierre L'Ecuyer. History of uniform random number generation (PDF). 2017 Winter Simulation Conference (WSC). 2017: 202–230 [2024-02-06]. ISBN 978-1-5386-3428-8. S2CID 4567651. doi:10.1109/WSC.2017.8247790. （原始内容存档 (PDF)于2022-08-04）.

tandfonline.com

Watnik, Mitchell. Early Computational Statistics. Journal of Computational and Graphical Statistics. 2011, 20 (4): 811–817 [2024-02-06]. ISSN 1061-8600. S2CID 120111510. doi:10.1198/jcgs.2011.204b. （原始内容存档于2023-12-21）（英语）.

washacadsci.org

Wegman, Edward J. “Computational Statistics: A New Agenda for Statistical Theory and Practice. （页面存档备份，存于互联网档案馆）” Journal of the Washington Academy of Sciences （页面存档备份，存于互联网档案馆）, vol. 78, no. 4, 1988, pp. 310–322. JSTOR

web.archive.org

Wegman, Edward J. “Computational Statistics: A New Agenda for Statistical Theory and Practice. （页面存档备份，存于互联网档案馆）” Journal of the Washington Academy of Sciences （页面存档备份，存于互联网档案馆）, vol. 78, no. 4, 1988, pp. 310–322. JSTOR
Watnik, Mitchell. Early Computational Statistics. Journal of Computational and Graphical Statistics. 2011, 20 (4): 811–817 [2024-02-06]. ISSN 1061-8600. S2CID 120111510. doi:10.1198/jcgs.2011.204b. （原始内容存档于2023-12-21）（英语）.
"Student" [William Sealy Gosset]. The probable error of a mean (PDF). Biometrika. 1908, 6 (1): 1–25 [2024-02-06]. JSTOR 2331554. doi:10.1093/biomet/6.1.1. hdl:10338.dmlcz/143545. （原始内容存档 (PDF)于2008-03-08）.
Pierre L'Ecuyer. History of uniform random number generation (PDF). 2017 Winter Simulation Conference (WSC). 2017: 202–230 [2024-02-06]. ISBN 978-1-5386-3428-8. S2CID 4567651. doi:10.1109/WSC.2017.8247790. （原始内容存档 (PDF)于2022-08-04）.

worldcat.org

Watnik, Mitchell. Early Computational Statistics. Journal of Computational and Graphical Statistics. 2011, 20 (4): 811–817 [2024-02-06]. ISSN 1061-8600. S2CID 120111510. doi:10.1198/jcgs.2011.204b. （原始内容存档于2023-12-21）（英语）.
Metropolis, Nicholas; Ulam, S. The Monte Carlo Method. Journal of the American Statistical Association. 1949, 44 (247): 335–341. ISSN 0162-1459. PMID 18139350. doi:10.1080/01621459.1949.10483310.
Robert, Christian; Casella, George. A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data. Statistical Science. 2011-02-01, 26 (1). ISSN 0883-4237. S2CID 2806098. arXiv:0808.2902 . doi:10.1214/10-sts351 .
QUENOUILLE, M. H. Notes on Bias in Estimation. Biometrika. 1956, 43 (3–4): 353–360. ISSN 0006-3444. doi:10.1093/biomet/43.3-4.353.
Teichroew, Daniel. A History of Distribution Sampling Prior to the Era of the Computer and its Relevance to Simulation. Journal of the American Statistical Association. 1965, 60 (309): 27–49. ISSN 0162-1459. doi:10.1080/01621459.1965.10480773.

york.ac.uk

"Student" [William Sealy Gosset]. The probable error of a mean (PDF). Biometrika. 1908, 6 (1): 1–25 [2024-02-06]. JSTOR 2331554. doi:10.1093/biomet/6.1.1. hdl:10338.dmlcz/143545. （原始内容存档 (PDF)于2008-03-08）.