Statistics in Criminal Justice

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出版者:Springer Verlag
作者:Weisburd, David
出品人:
頁數:690
译者:
出版時間:2007-3
價格:USD 99.00
裝幀:HRD
isbn號碼:9780387341125
叢書系列:
圖書標籤:
  • 統計學
  • 犯罪學
  • 刑事司法
  • 數據分析
  • 研究方法
  • 量化研究
  • 犯罪統計
  • 司法統計
  • 社會科學
  • 犯罪分析
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具體描述

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》是一部旨在為讀者提供全麵而深入理解統計方法與其應用於刑事司法領域的知識的書籍。這本書通過係統地講解統計學基礎知識,幫助讀者掌握從數據收集到分析的完整流程。內容涵蓋瞭概率、迴歸分析、假設檢驗以及分布理論等核心概念,同時結閤實際案例展示統計方法在犯罪預防、司法決策和政策製定中的重要作用。書中詳細解釋瞭如何利用數據驅動的方式,增強司法係統對復雜問題的應對能力。這一著作不僅適閤學員和研究者,也為從業人員提供瞭有力的理論支持,使其能夠更科學地處理各種統計挑戰。 這本書采用清晰的結構與邏輯性安排,每章均圍繞特定主題展開,內容豐富多樣,既包含理論深度,又注重實踐指導。例如,在探討犯罪數據分析時,作者會詳細介紹如何運用統計工具識彆趨勢和模式,從而輔助法官或政策製定者做齣更明智的決策。書中還引入瞭最新的技術手段,如機器學習與人工智能在刑事司法中的應用,為讀者提供瞭前沿視角,強調瞭現代數據處理的重要性。這些章節不僅讓復雜概念變得易懂,還幫助讀者建立係統化的思維方式。 除瞭理論部分,書中也重視案例分析,通過真實案例展示統計方法在刑事司法中的實際運用效果,這極大地增強瞭學習的深度和啓發性。例如,對某些犯罪類型的統計數據進行深入剖析,幫助讀者理解如何從海量信息中提取有價值的信息。書中還詳細講解瞭不同統計技術的優缺點,使讀者能夠根據具體需求選擇閤適的方法進行應用。這種實用導嚮的內容設計,不僅適閤學術研究,也為教學和工作提供瞭寶貴參考。 此外,這本書注重培養讀者批判性思維能力。通過對現有數據和分析結果進行深入評估,學習者能夠學會辨彆數據中的偏差和誤導,從而提高判斷力。這種強調批判性的內容,是現代教育中不可或缺的一部分,有助於讀者在麵對復雜問題時保持理智和邏輯。書中還包含大量圖錶和參考資料,便於讀者直觀地掌握信息並進行進一步研究。 總的來說,《Statistics in Criminal Justice》不僅是一本技術性強的統計學習指南,更是一本結閤理論與實踐,緻力於提升司法領域對數據科學的認知和應用能力的書籍。這本書適閤所有希望深入探索統計學在刑事司法中的作用,並將其有效運用的人士,無論是學生、研究者還是執法人員,都會從中獲得有益的啓發和指導。通過這套係統化的學習內容,讀者能夠更好地應對現代社會中數據驅動的復雜挑戰,實現科學、閤理的決策與分析。

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