Scholarlink

This chapter introduces the Fisher–Pitman permutation and the Neyman–Pearson population statistical inference models. Exact and Monte Carlo permutation statistical methods are described and compared. The chapter concludes with a description of the relative advantages of permutation statistical methods.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Introduction

  • 章节

  • 发表日期：

    2026年

查看全文
  • Janis E. Johnston,
  • Kenneth J. Berry,
  • Michael A. Long

摘要

This chapter introduces the Fisher–Pitman permutation and the Neyman–Pearson population statistical inference models. Exact and Monte Carlo permutation statistical methods are described and compared. The chapter concludes with a description of the relative advantages of permutation statistical methods.