000 02345nam a22003857a 4500
001 4526
003 BD-DhEWU
005 20180107150551.0
008 060124s2006 nyua g b 001 0 eng d
010 _a2006921164
020 _a9780387324487 (acidfree paper)
020 _a0387324488 (acidfree paper)
035 _a(OCLC)70677376
040 _aOHX
_cOHX
_dUAB
_dIXA
_dBAKER
_dYDXCP
_dOCLCQ
_dNjP
_dDLC
_dBD-DhEWU
_beng
041 _aeng
050 0 0 _aQA276.8
_b.T75 2006
082 0 4 _a519.544
_222
_bTSS 2006
100 1 _aTsiatis, Anastasios A.
_q(Anastasios Athanasios)
_919498
245 1 0 _aSemiparametric theory and missing data /
_cAnastasios A. Tsiatis.
260 _aNew York :
_bSpringer,
_cc2006.
300 _axvi, 383 p. :
_bill. ;
_c24 cm.
440 0 _aSpringer series in statistics.
_919481
504 _aIncludes bibliographical references and index.
505 _tTOC
_aIntroduction to semiparametric models -- Hilbert Space for random vectors -- The geometry of influence functions -- Semiparametric models -- Examples of semiparametric models -- Models and methods for missing data -- Missing and coarsening at random for semiparametric models -- The nuisance tangent space and its orthogonal complement -- Augmented inverse probability weighted complete-case estimators -- Improving efficiency and double robustness with coarsened data -- Locally efficient estimators for coarsened-data semiparametric models -- Approximate methods for gaining efficiency -- Double-robust estimator of the average causal treatment effect -- Multiple imputation: a frequentist perspective.
520 _aSummary: This book summarizes current knowledge of the theory of estimation for semiparametric models with missing data, applying modern methods to missing, censored, and coarsened data with the goal of Read more...
526 _aAS
590 _aSaifun Momota
650 0 _aParameter estimation.
_919499
650 0 _aMissing observations (Statistics)
_92773
856 4 2 _3Publisher description
_uhttp://www.loc.gov/catdir/enhancements/fy0663/2006921164-d.html
856 4 2 _3WorldCat details
_uhttp://www.worldcat.org/title/semiparametric-theory-and-missing-data/oclc/70677376&referer=brief_results
856 4 0 _3E-book Fulltext
_uhttp://lib.ewubd.edu/ebook/4526
942 _2ddc
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