000 02842nam a22004098i 4500
001 CR9780511510595
003 UkCbUP
005 20200124160229.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 090312s2004||||enk o ||1 0|eng|d
020 _a9780511510595 (ebook)
020 _z9780521835138 (hardback)
020 _z9780521542807 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aHA29
_b.E27 2004
082 0 0 _a300/.72/7
_222
245 0 0 _aEcological inference :
_bnew methodological strategies /
_cedited by Gary King, Ori Rosen, Martin A. Tanner.
264 1 _aCambridge :
_bCambridge University Press,
_c2004.
300 _a1 online resource (x, 421 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aAnalytical methods for social research
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 0 _tIntroduction : information in ecological inference : an introduction /
_rGary King, Ori Rosen and Martin A. Tanner --
_g1.
_tPrior and likelihood choices in the analysis of ecological data /
_rJonathan Wakefield --
_g2.
_tThe information in aggregate data /
_rDavid G. Steel, Eric J. Beth and Ray L. Chambers --
_g3.
_tUsing ecological inference for contextual research /
_rD. Stephen Voss --
_g4.
_tExtending King's ecological inference model to multiple elections using Markov chain Monte Carlo /
_rJeffrey B. Lewis --
_g5.
_tEcological regression and ecological inference /
_rBernard Grofman and Samuel Merrill --
_g6.
_tUsing prior information to aid ecological inference : a Bayesian approach /
_rJ. Kevin Corder and Christina Wolbrecht.
520 _aDrawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays, first published in 2004, offers many important contributions to the study of ecological inference.
650 0 _aSocial sciences
_xStatistical methods.
650 0 _aPolitical statistics.
650 0 _aInference.
700 1 _aKing, Gary,
_d1958-
_eeditor.
700 1 _aRosen, Ori,
_eeditor.
700 1 _aTanner, Martin Abba,
_d1957-
_eeditor.
776 0 8 _iPrint version:
_z9780521835138
830 0 _aAnalytical methods for social research.
856 4 0 _uhttps://doi.org/10.1017/CBO9780511510595
999 _c517496
_d517494