推理范式
This course provides a conceptual overview of different statistical approaches used to make inferences about natural resource (and other) systems. We will cover basic probability topics, and explain, compare, and contrast frequentist and Bayesian approaches. Within frequentist approaches we will compare and contrast parametric statistics, non-parametric statistics and resampling approaches. We will also touch on approaches other than frequentists and Bayesian statistics for making statistical inferences. This course is intended, in part, to provide you background that will help you decide on the usefulness of other QFC courses that focus on particular approaches to inference, in more detail (Software Tools for Maximum Likelihood Estimation Introduction to Bayesian modeling in Biology, Resampling Approaches to Data Analysis).
预设条件
学生预期有基本数学(代数和几何学分数),如大多数本科科学课程的招生所期望,并有科学使用学学经验,如生物测量学或统计方法学学学学士
类格式和时间
本类异步在线类约等于1.5学分课程。学生可在任何时候开始课并有3个月完成课程
购买类 :
价格300元 请联系Jim Bencemsu.edu)如果你有兴趣购买课程
MSU客机账号(非MSU附属学生)
课中每个学生都需要一个MSU账号 。 如果您不附属于MSU可在此获取MSU客机.
问题支付支票或批量购买CharlieBelinsky517-355-01226或belinsky@msu.edu
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