Law, Policy, and Optimizing AnalysisBloomsbury Academic, 17 gru 1986 - 350 This book can improve the effectiveness of those working within the legal process and in legal policy. It seeks to clarify how the examination of risk levels, time allocation, and other legal policy situations can lead to optimum choices. The principles discussed are amplified by illustrative examples covering such important subjects as right to counsel, plea bargaining, client selection, pretrial release, jury size, crime prevention, delay reduction, and many other controversial and problematic issues of concern to the practicing attorney, the legal scholar, and the legal policymaker. Nagel offers the reader realistic applications of the theories provided, and is unique in his hands-on direct relation of those theories to the decision-making process. |
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CHOICE RISK LEVEL MIX | 3 |
POLICIES GOALS AND CRIMINAL JUSTICE | 21 |
PG MICROCOMPUTERS AND OPTIMUM CHOICE | 39 |
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anti-crime approach arrested arrival rate backlog basic behavior benefit-cost benefits minus costs Beverly Hills billable hours certainty Client combination conservative constant constraints contingency fee convicted court crime benefits crime occurrence crime quantity crime reduction criminal justice curve damages Decision Theory decision-making decisions decrease defendant delay determine diminishing returns dollars effect elasticity coefficients equal example exclusionary rule expected value Figure Finding an Optimum graph holding costs illegal increase involves jury lawyer legal policy legal process liberal Likewise maximize maximum means methods minimum multiplied Nagel negative number of judges obtain optimizing optimum allocation Optimum Level optimum sequencing overall score part/whole percentages percent plea bargaining pleas policy evaluation predicted prior record probability of punishment problem processing rate profit queueing theory raw scores reduce regression regression analysis relative releasing costs relevant shows slope statistical Table threshold analysis threshold equation threshold probability tradeoff would-be criminal York zero