MARC record from Internet Archive

LEADER: 06273pam 22003014a 4500
001 9920561020001661
005 20150423130622.0
008 010402s2001 flua b 001 0 eng
010 $a 2001028695
020 $a1584882719 (alk. paper)
035 $a(CSdNU)u98726-01national_inst
035 $a(Sirsi) l2001028695
035 $a(Sirsi) l2001028695
035 $a(Sirsi) 01-AAM-4000
035 $a 2001028695
040 $aDLC$cDLC$dNhCcYBP$dOrPss
042 $apcc
043 $an-us---
050 00 $aKF 8968.75$bG66 2001
100 1 $aGood, Phillip I.
245 10 $aApplying statistics in the courtroom :$ba new approach for attorneys and expert witnesses /$cPhillip I. Good.
260 $aBoca Raton [Fla.] :$bChapman & Hall/CRC,$cc2001.
300 $axviii, 276 p. :$bill. ;$c25 cm.
504 $aIncludes bibliographical references (p. 257-271) and index.
505 0 $aSamples And Populations -- Audits -- Validity of Using Sample Methods -- Basis for Objection -- Is the Sample Size Adequate? -- Determining the Appropriate Population -- Jury Panels -- Criminal Universe -- Trademarks -- Discrimination -- Downsizing -- Representative Samples and Jury Selection -- Burden of Proof -- The Right to be Eligible to Serve -- Cognizable, Separate, Identifiable Groups -- Voir Dire Rights of Litigants and Jurors -- Composition of the Jury Pool -- True Cross-Section -- Snapshot in Time -- Composition of the Individual Panel -- Standing -- Random Selection -- Errors in Sampling Methodology -- Sample and Survey Methodology -- Cluster Sampling -- The Fight over the Census -- Increasing Sample Reliability -- Designing the Questionnaire -- Data Integrity -- How Much to Tell the Court -- Missing Data and Nonresponders -- Presenting Your Case -- The Center or Average -- Extrapolating from the Mean -- The Geometric Mean -- The Mode -- Measuring the Precision of a Sample Estimate -- Standard Deviation -- Bootstrap -- Coefficient of Variation -- Changes in Rates -- Comparative versus Absolute Disparity -- Probability -- Equally Likely, Equally Frequent -- Mutually Exclusive Events -- Which Population? -- Putting the Rules in Numeric Form -- Conditional Probabilities -- Negative Evidence -- Independence -- The Product Rule -- DNA Matching -- Sampling with and without Replacement -- Bayes' Theorem -- Criminal Law -- Facts versus Probabilities -- Exception to the Rule -- Bayes' Theorem -- Observations versus Guesstimates -- Inconsistent Application -- Middle Ground -- Probable Cause -- Sentencing -- U.S. v. Shonubi -- Statistical Arguments -- Sampling Acceptable -- Civil Law -- The Civil Paradigm -- Holding -- Exception for Joint Negligence -- Exception for Expert Witnesses -- Distinguishing Collins -- Applying Bayes' Theorem -- Speculative Gains and Losses -- Environmental Hazards -- Is the Evidence Admissible? -- Daubert -- Role of the Trial Judge -- Is the Evidence Sufficient? -- SMR Defined -- Sufficiency Defined -- Strength and Consistency of Association -- Dose-Response Relationship -- Experimental Evidence -- Plausibility -- Coherence -- Other Discussions of Sufficiency -- Risk versus Probability -- Competing Risks -- Use of Models -- Multiple Defendants -- Hypothesis Testing And Estimation -- How Large is Large? -- Discrimination -- Eight Is Not Enough -- Timely Objection -- Substantial Equivalence -- Other Related Discrimination Opinions -- The 80% Rule -- Differential Pass and Promotion Rates -- Sample versus Subsample Size -- No Sample Too Small -- Sensitivity Analysis -- Statistical Significance -- Collateral Evidence -- Supreme Court Division -- Methods of Analysis -- Comparing Two Samples -- A One-Sample Permutation Test -- Permutation Tests and Their Assumptions -- The Underlying Population -- Distribution Theory -- Binomial Distribution -- Normal Distribution -- Poisson Distribution: Events Rare in Time and Space -- Exponential Distribution -- Relationships among Distributions -- Distribution-Free Statistics -- Bad Choices -- Contingency Tables -- Which Test? -- One Tail or Two? -- The Chi-Square Statistic -- Correlation -- Correlation -- Statistical Significance -- Practical Significance -- Absence of Correlation -- Which Variables? -- Consistency over the Range -- Bias -- Testing -- Predictive Validity -- Validating the Test -- Linear Regression -- Linear Regression Defined -- Comparing Two Populations -- Multiple Regression -- Lost Earnings -- Multiple Applications -- Construction of the Database -- Construction of the Equations -- Application of the Equations -- Determination of the Limitation -- Collinearity and Partial Correlation -- Defenses -- Failure to Include Relevant Factors -- Negligible Predictive Power -- Validation -- Rebuttal Decisions -- Collateral Evidence -- Omitted Variables -- Alternate Forms of Regression Analysis -- Cohort Analysis -- Linear, Nonlinear, and Logistic Regression -- Testing for Significance -- When Statistics Don't Count -- Age Discrimination -- Gender Discrimination -- Sentencing -- Applying Statistics In The Courtroom -- Preventive Statistics -- Appropriate Controls -- Breast Implants -- Basis for Comparison -- Extent of Damages -- Placebo Effect -- Random Representative Samples -- Power of a Test -- Sample Size -- Confidence Intervals -- Coincidence and the Law of Small Numbers -- Clustering -- The Ballot Theorem and the Arc-Sine Law -- Coincidence and Ad Hoc-Post Hoc Arguments -- Reproducibility -- Painting the Bull's Eye around the Bullet Holes -- Data Mining or Searching for Significance -- Bad Statistics -- An Example from the National Game -- Large Sample Approximations -- Multiple Statistics, Multiple Conclusions -- Counterattack -- What Every Statistician Should Know about Courtroom Procedure -- Selecting the Case -- Prefiling -- Discovery -- Depositions -- Post-Deposition, Pretrial Activities -- In the Courtroom -- Appeals -- Making Effective Use of Statistics and Statisticians -- Selecting a Statistician -- Prefiling Preparation -- Discovery -- Depositions -- Presentation of Evidence -- Appeals.
650 0 $aForensic statistics$zUnited States.
948 $a11/14/2001$b11/26/2001
999 $aKF 8968.75 G66 2001$wLC$c1$i31786101661020$d2/22/2011$e2/18/2011 $f8/10/2004$g1$lCIRCSTACKS$mNULS$n2$rY$sY$tBOOK$u11/26/2001