论文标题

法律与科学的随机和公平判断

Randomization and Fair Judgment in Law and Science

论文作者

Stern, Julio Michael, Simplicio, Marcos Antonio, Silva, Marcos Vinicius M., Pfeiffer, Roberto A. Castellanos

论文摘要

随机程序用于法律和统计应用中,旨在将重要的决定避免虚假影响。本文对随机化进行了直观的介绍,并研究了其使用与真实的统计推断和公平法律判断有关的一些预期后果。本文还提出了一个开放代码Java实现,用于密码安全,统计上可靠,透明,可追溯和完全审核的随机化工具。

Randomization procedures are used in legal and statistical applications, aiming to shield important decisions from spurious influences. This article gives an intuitive introduction to randomization and examines some intended consequences of its use related to truthful statistical inference and fair legal judgment. This article also presents an open-code Java implementation for a cryptographically secure, statistically reliable, transparent, traceable, and fully auditable randomization tool.

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