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006 m o d
007 cr |||||||||||
008 120316s2012 nju ob 001 0 eng
010 _a 2012011613
040 _aDLC
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019 _a807800528
_a808344721
_a848895178
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020 _a9781118360118
_q(ePub)
020 _a1118360117
_q(ePub)
020 _a9781118360095
_q(MobiPocket)
020 _a1118360095
_q(MobiPocket)
020 _a9781118360132
_q(Adobe PDF)
020 _a1118360133
_q(Adobe PDF)
020 _a9781118360125
_q(electronic bk.)
020 _a1118360125
_q(electronic bk.)
020 _a1118294394
_q(pbk.)
020 _a9781118294390
_q(pbk.)
020 _a9781280699399
_q(MyiLibrary)
020 _a1280699396
_q(MyiLibrary)
020 _z9780470635438
_q(cloth ;
_qalk. paper)
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035 _a(OCoLC)780415821
_z(OCoLC)807800528
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_z(OCoLC)848895178
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037 _aCL0500000223
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072 7 _aMAT
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082 0 0 _a519.5
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084 _aMAT029000
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049 _aMAIN
100 1 _aGood, Phillip I.
245 1 0 _aCommon errors in statistics (and how to avoid them) /
_cPhillip I. Good and James W. Hardin.
250 _aFourth edition.
260 _aHoboken :
_bWiley,
_c2012.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _a"The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result reporting, survival analysis; etc. Including new modifications and figures, the book also covers such topics as research plan creation; data collection; hypothesis formulation and testing; coefficient estimates; sample size specifications; assumption checking; p-values interpretations and confidence intervals; counts and correlated data; model building and testing; Bayes' Theorem; bootstrap and permutation tests; and more"--
_cProvided by publisher.
504 _aIncludes bibliographical references and index.
588 0 _aPrint version record and CIP data provided by publisher.
505 0 _aCommon Errors in Statistics (and How to Avoid Them); Contents; Preface; Part I: FOUNDATIONS; Chapter 1: Sources of Error; PRESCRIPTION; FUNDAMENTAL CONCEPTS; SURVEYS AND LONG-TERM STUDIES; AD-HOC, POST-HOC HYPOTHESES; TO LEARN MORE; Chapter 2: Hypotheses: The Why of Your Research; PRESCRIPTION; WHAT IS A HYPOTHESIS?; HOW PRECISE MUST A HYPOTHESIS BE?; FOUND DATA; NULL OR NIL HYPOTHESIS; NEYMAN-PEARSON THEORY; DEDUCTION AND INDUCTION; LOSSES; DECISIONS; TO LEARN MORE; Chapter 3: Collecting Data; PREPARATION; RESPONSE VARIABLES; DETERMINING SAMPLE SIZE; FUNDAMENTAL ASSUMPTIONS.
650 0 _aStatistics.
650 4 _aStatistics.
650 4 _aMATHEMATICS
_xProbability & Statistics
_xGeneral.
650 7 _aMATHEMATICS
_xProbability & Statistics
_xGeneral.
_2bisacsh
650 7 _aStatistics.
_2fast
_0(OCoLC)fst01132103
650 7 _aStatistics.
_2local
655 4 _aElectronic books.
655 7 _aElectronic books.
_2local
700 1 _aHardin, James W.
_q(James William)
776 0 8 _iPrint version:
_aGood, Phillip I.
_tCommon errors in statistics (and how to avoid them).
_bFourth edition.
_dHoboken : Wiley, 2012
_z9780470635438
_w(DLC) 2012005888
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118360125
_zWiley Online Library
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