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Mathematical Statistics

 KOBAYASHI, Yasuyuki
  Elective  2 credits
【Information and Electronics Engineering･2nd semester】
17-1-1548-1978

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Outline
The goal is to master the elements of mathematical statistics. In particular, we aim to understand descriptive statistics, basic probability theories, concepts of probability distributions, various discrete probability distributions and concepts of continuous probability distributions, various distributions and inferences and tests for the first step for the inference statistics.
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Objectives
Mathematical statistics are fundamental knowledge essential to understanding or to estimating the data collected from various fields. At the beginning of this course, the student will study descriptive statistics so as to understand the characteristics of statistical data. Then, in order to prepare the learning of inference statistics, students will study basic probability theories, concepts of probability distributions, several discrete probability distributions, the concepts of continuous probability distributions and various important distributions for mathematical statistics. Finally, the students will learn the inferences and tests for the first step for the inference statistics.
１．
Outline
The goal is to master the elements of mathematical statistics. In particular, we aim to understand descriptive statistics, basic probability theories, concepts of probability distributions, various discrete probability distributions and concepts of continuous probability distributions, various distributions and inferences and tests for the first step for the inference statistics.
２．
Objectives
Mathematical statistics are fundamental knowledge essential to understanding or to estimating the data collected from various fields. At the beginning of this course, the student will study descriptive statistics so as to understand the characteristics of statistical data. Then, in order to prepare the learning of inference statistics, students will study basic probability theories, concepts of probability distributions, several discrete probability distributions, the concepts of continuous probability distributions and various important distributions for mathematical statistics. Finally, the students will learn the inferences and tests for the first step for the inference statistics.
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Grading Policy

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Textbook and Reference

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Requirements (Assignments)

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Note

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Schedule
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