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00000cam a2200000Mu 4500 |
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EBOOKCENTRAL_ocn958524863 |
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OCoLC |
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20240329122006.0 |
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m o d |
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160917s1995 nyu o 000 0 eng d |
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|d OCLCL
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|a 968470009
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|a 9781461207955
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|a 519.5/44
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|2 20/eng/20230216
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| 049 |
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|a UAMI
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| 100 |
1 |
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|a Shao, Jun.
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| 245 |
1 |
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|a Jackknife and Bootstrap.
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| 250 |
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|a N.
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| 260 |
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|a New York :
|b Springer New York,
|c 1995.
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| 300 |
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|a 1 online resource (532 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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|a Print version record.
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|a Springer Series in Statistics; The Jackknife and Bootstrap; Copyright; Preface; Contents; Chapter 1 Introduction; Chapter 2 Theory for the Jackknife; Chapter 3 Theory for the Bootstrap; Chapter 4 Bootstrap Confidence Sets and Hypothesis Tests; Chapter 5 Computational Methods; Chapter 6 Applications to Sample Surveys; Chapter 7 Applications to Linear Models; Chapter 8 Applications to Nonlinear, Nonparametric, and Multivariate Models; Chapter 9 Applications to Time Series and Other Dependent Data; Chapter 10 Bayesian Bootstrap and Random Weighting; Appendix A Asymptotic Results.
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| 505 |
8 |
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|a Appendix B NotationReferences; Author Index; Subject Index.
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 700 |
1 |
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|a Tu, Dongsheng.
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| 758 |
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|i has work:
|a The jackknife and bootstrap (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGm6yv7pXyFTTRYhgbCcKd
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
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|i Print version:
|a Shao, Jun.
|t Jackknife and Bootstrap.
|d New York : Springer New York, ©1995
|z 9781461269038
|
| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3073974
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