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描述
应用多元统计 矩阵代数与随机向量、样本几何与随机抽样、多元正态分布、均值的推断、多元均值比较、多元线性回归模型、主成分、因子分析、协方差分析、典型相关分析、判别与分类、聚类分析、计算技术及 SAS、Maple 或其他统计软件的使用与相关课题。讲座每周 3 小时；实验每周 1 小时。先修科目：STAT (MATH) 1P11 或 1P12；STAT (MATH) 2P82 或经授课教师许可。注：本课程可能以多种授课方式提供。授课方式将在学期课程表中列出。修完本课程将取代先前在 MATH 3P86 获得的成绩与学分。#
先修课程
- 先修科目：STAT (MATH) 1P11 或 1P12；STAT (MATH) 2P82 或经授课教师许可。
条件与方式
- 先修科目：STAT (MATH) 1P11 或 1P12；STAT (MATH) 2P82 或经授课教师许可。
- 注：本课程可能以多种授课方式提供。授课方式将在学期课程表中列出。修完本课程将取代先前在 MATH 3P86 获得的成绩与学分。#
原文参考文本
Applied Multivariate Statistics Matrix algebra and random vector, sample geometry and random sampling, multivariate normal distribution, inference about mean, comparison of several multivariate means, multivariate linear regression model, principle components, factor analysis, covariance analysis, canonical correlation analysis, discrimination and classification, cluster analysis, 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) 1P11 or 1P12; STAT (MATH) 2P82 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 3P86. #
- Prerequisite(s): STAT (MATH) 1P11 or 1P12; STAT (MATH) 2P82 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 3P86. #
来源与参考
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来源参考 : https://brocku.ca/webcal/2024/undergrad/math.html