Statistics in Criminal Justice

Statistics in Criminal Justice pdf epub mobi txt 电子书 下载 2026

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出版者:Springer Verlag
作者:Weisburd, David
出品人:
页数:690
译者:
出版时间:2007-3
价格:USD 99.00
装帧:HRD
isbn号码:9780387341125
丛书系列:
图书标签:
  • 统计学
  • 犯罪学
  • 刑事司法
  • 数据分析
  • 研究方法
  • 量化研究
  • 犯罪统计
  • 司法统计
  • 社会科学
  • 犯罪分析
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具体描述

NEW AND REVISED THIRD EDITION This book introduces basic statistics and statistical concepts, with each chapter building in sophistication to prepare for the concepts that follow. Emphasizing comprehension and interpretation over computation, the book still takes a serious approach to statistics, tailored to the real world of crime and justice. The updated and expanded 3rd edition includes additional chapter-end exercises; expanded computer exercises that can be performed in the Student Version of SPSS; extended discussion of multivariate regression models, including interaction and non-linear effects; a new chapter on multinomial and ordinal logistic regression models, designed for comprehension and interpretation; and new material on multivariate regression models. "One course that students always put off until they are nearing the completion of their degree requirements is statistics. The fear is that the material is either too difficult or the book doesn't make sense. Although as teachers we can do little about the former, we can do much about the latter, and Weisburd and Britt have done just that. Statistics in Criminal Justice is precisely the book I wish I learned statistics with when I was a student. It presents readers with the basic tools needed to be a consumer and user of criminal justice research, includes many examples spanning a wide range of criminal justice/criminological topics, and the end-of-chapter study questions and computer exercises reinforce key concepts. To the authors' credit, this text goes even farther by introducing the reader to more advanced forms of regression-based analyses. As such, the book can and should be read by undergraduate students starting off in higher education, graduate students embarking on their academic careers, and even seasoned faculty who every now and again need to recall a formula or brush up on some matters. After reading Statistics in Criminal Justice, I am sure you will join me in thanking these two first-rate scholars for taking the time to teach us statistics in an enjoyable and effective manner." -Alex R. Piquero, Presidential Scholar & Professor, University of Maryland-College Park

《Statistics in Criminal Justice》是一部旨在为读者提供全面而深入理解统计方法与其应用于刑事司法领域的知识的书籍。这本书通过系统地讲解统计学基础知识,帮助读者掌握从数据收集到分析的完整流程。内容涵盖了概率、回归分析、假设检验以及分布理论等核心概念,同时结合实际案例展示统计方法在犯罪预防、司法决策和政策制定中的重要作用。书中详细解释了如何利用数据驱动的方式,增强司法系统对复杂问题的应对能力。这一著作不仅适合学员和研究者,也为从业人员提供了有力的理论支持,使其能够更科学地处理各种统计挑战。 这本书采用清晰的结构与逻辑性安排,每章均围绕特定主题展开,内容丰富多样,既包含理论深度,又注重实践指导。例如,在探讨犯罪数据分析时,作者会详细介绍如何运用统计工具识别趋势和模式,从而辅助法官或政策制定者做出更明智的决策。书中还引入了最新的技术手段,如机器学习与人工智能在刑事司法中的应用,为读者提供了前沿视角,强调了现代数据处理的重要性。这些章节不仅让复杂概念变得易懂,还帮助读者建立系统化的思维方式。 除了理论部分,书中也重视案例分析,通过真实案例展示统计方法在刑事司法中的实际运用效果,这极大地增强了学习的深度和启发性。例如,对某些犯罪类型的统计数据进行深入剖析,帮助读者理解如何从海量信息中提取有价值的信息。书中还详细讲解了不同统计技术的优缺点,使读者能够根据具体需求选择合适的方法进行应用。这种实用导向的内容设计,不仅适合学术研究,也为教学和工作提供了宝贵参考。 此外,这本书注重培养读者批判性思维能力。通过对现有数据和分析结果进行深入评估,学习者能够学会辨别数据中的偏差和误导,从而提高判断力。这种强调批判性的内容,是现代教育中不可或缺的一部分,有助于读者在面对复杂问题时保持理智和逻辑。书中还包含大量图表和参考资料,便于读者直观地掌握信息并进行进一步研究。 总的来说,《Statistics in Criminal Justice》不仅是一本技术性强的统计学习指南,更是一本结合理论与实践,致力于提升司法领域对数据科学的认知和应用能力的书籍。这本书适合所有希望深入探索统计学在刑事司法中的作用,并将其有效运用的人士,无论是学生、研究者还是执法人员,都会从中获得有益的启发和指导。通过这套系统化的学习内容,读者能够更好地应对现代社会中数据驱动的复杂挑战,实现科学、合理的决策与分析。

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