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描述
抽样理论 有限总体抽样理论；简单随机抽样；抽样比率；样本量估计；分层随机抽样；样本量的最优分配；比率估计量；回归估计量；系统抽样与簇抽样；多阶段抽样；调查误差；计算技术及 SAS、Maple 或其他统计软件的使用及相关主题。讲座，每周 3 小时；实验，每周 1 小时。先决条件：STAT（MATH）3P85 或授课教师许可。注：该课程可能以多种授课方式提供。授课方式将在相应学期的教学时间表中列出。完成本课程将替换先前在 MATH 4P81 中获得的成绩和学分。
先修课程
- 先决条件：STAT（MATH）3P85 或授课教师许可。
条件与方式
- 先决条件：STAT（MATH）3P85 或授课教师许可。
- 注：该课程可能以多种授课方式提供。授课方式将在相应学期的教学时间表中列出。完成本课程将替换先前在 MATH 4P81 中获得的成绩和学分。
原文参考文本
Sampling Theory Theory of finite population sampling; simple random sampling; sampling proportion; estimation of sample size; stratified random sampling; optimal allocation of sample sizes; ratio estimators; regression estimators; systematic and cluster sampling; multi-stage sampling; errors in surveys; computational techniques and use of SAS, Maple or other statistical packages and related topics. Lectures, 3 hours per week; lab, 1 hour per week. Prerequisite(s): STAT (MATH) 3P85 or permission of the instructor. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Completion of this course will replace previously assigned grade and credit obtained in MATH 4P81.
- Prerequisite(s): STAT (MATH) 3P85 or permission of the instructor.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Completion of this course will replace previously assigned grade and credit obtained in MATH 4P81.
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来源参考 : https://brocku.ca/webcal/2024/undergrad/math.html