Record ID | marc_openlibraries_sanfranciscopubliclibrary/sfpl_chq_2018_12_24_run06.mrc:5465450:4214 |
Source | marc_openlibraries_sanfranciscopubliclibrary |
Download Link | /show-records/marc_openlibraries_sanfranciscopubliclibrary/sfpl_chq_2018_12_24_run06.mrc:5465450:4214?format=raw |
LEADER: 04214cam a2200589 i 4500
001 ocn952388386
003 OCoLC
005 20170919093836.0
008 161101s2017 flua b 001 0 eng
010 $a2016050456
019 $a951753880$a987992369
020 $a9781498795784 (pbk. : acid-free paper)
020 $a1498795781 (pbk. : acid-free paper)
020 $a9781138726987
020 $a1138726982
024 8 $a40027171906
035 $a(OCoLC)952388386$z(OCoLC)951753880$z(OCoLC)987992369
040 $aDLC$beng$erda$cDLC$dBTCTA$dBDX$dYDXCP$dOCLCF$dYDX$dOBE$dCSAIL$dYUS$dUSU$dOCLCO$dSFR$dUtOrBLW
042 $apcc
049 $aSFRA
050 00 $aQ172.5.E77$bS38 2017
060 4 $aQ172.5.E77$bS38 2017
082 00 $a519.509$223
092 $a519.509$bSa369e
100 1 $aSalsburg, David,$d1931-
245 10 $aErrors, blunders, and lies :$bhow to tell the difference /$cDavid S. Salsburg.
264 1 $aBoca Raton, FL :$bCRC Press, Taylor & Francis Group,$c[2017]
300 $axiii, 154 pages :$billustrations ;$c22 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 0 $aASA-CRC series on statistical reasoning in science and society
504 $aIncludes bibliographical references and index.
505 0 $aThe transit of Venus -- Probability versus likelihood -- The central limit conjecture -- Measuring disease -- Other uses of multilinear models -- When multilinear regression is not adequate -- Correlation versus causation -- Regression and big data -- Contaminated distributions -- The Princeton robustness study -- When the blunder is what you want -- Parsing "blunders" -- The reigns of kings -- Searching for the "real" Davy Crockett -- Detecting falsified counts -- Uncovering secrets -- Errors, blunders, or curbstoning?
520 $aWe live in a world that is not quite 'right'. The central tenet of statistical inquiry is that Observation = Truth + Error because even the most careful of scientific investigations have always been bedevilled by uncertainty. Our attempts to measure things are plagued with small errors. Our attempts to understand our world are blocked by blunders. And, unfortunately, in some cases, people have been known to lie. In this follow-up to his acclaimed best-seller, The Lady Tasting Tea, David Salsburg opens a door to the widespread use of statistical methods by looking at historical examples of errors, blunders and lies from areas as diverse as archaeology, law, economics, medicine, psychology, sociology, Biblical studies, history, and war-time espionage. In doing so, he shows how, upon closer statistical investigation, errors and blunders often lead to useful information. And how statistical methods have been used to uncover falsified data. Beginning with Edmund Halley's examination of the Transit of Venus and ending with discussions of how many tanks Rommel had during the Second World War and whether modern African censuses contain falsified data, the author invites the reader to come along on this easily-accessible and fascinating journey of how to identify the nature of errors, minimize the effects of blunders, and figure out who the liars are.
650 0 $aErrors, Scientific.
650 0 $aScience$xStatistical methods.
650 0 $aMissing observations (Statistics)
650 0 $aScience$xMethodology.
907 $a.b34103016$b03-30-18$c06-02-17
998 $axbt$b08-07-17$cm$da $e-$feng$gflu$h0$i0
907 $a.b34103016$b09-13-17$c06-02-17
938 $aYBP Library Services$bYANK$n13513774
938 $aYBP Library Services$bYANK$n13036535
938 $aBrodart$bBROD$n117108812
938 $aBaker and Taylor$bBTCP$nBK0019039084
980 $a0817 aw
998 $axbt$b08-07-17$cm$da$e-$feng$gflu$h0$i0
994 $aC0$bSFR
999 $yMARS
945 $a519.509$bSa369e$d - - $e04-02-2018 16:29$f0$g0$h05-10-18$i31223122281497$j331$0800$k - - $lxbtci$o-$p$29.95$q-$r-$s- $t1$u3$v4$w0$x3$y.i91596646$z09-05-17
945 $a519.509$bSa369e$d - - $e09-10-2017 14:42$f0$g0$h09-30-17$i31223122281489$j503$0508$k - - $lxbtci$o-$p$29.95$q-$r-$s- $t1$u1$v0$w0$x1$y.i91596658$z09-05-17