Бакалавриат 2024/2025

Статистический анализ нечисловой информации

ID 813703

Лучший по критерию «Новизна полученных знаний»

Статус: Курс обязательный (Экономика и статистика)

Направление: 38.03.01. Экономика

Кто читает: Департамент статистики и анализа данных

Где читается: Факультет экономических наук

Когда читается: 2-й курс, 3 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Астафьева Екатерина Викторовна

Язык: русский

Кредиты: 4

Программа дисциплины

Аннотация

Categorial Data Analysis is a course for the second year bachelor’s programme students who selected specialization Economics and Statistics. The course covers methods for analyzing qualitative variables, that often receive little attention in the traditional statistics curriculum, but play an important role in statistical practice due to the ubiquity of categorical data, especially in the social sciences. The course consists of two parts, including traditional (non modes) methods for analyzing the relationship between categorical variables and loglinear models. The first section provides basic terminology and notation; describes methods for testing the hypothesis of the independence of two categorical variables, including follow-up components extracting that improve the description of the relationship; covers different measures of association and their probabilistic interpretation. The second section considers loglinear models that allow to characterize the nature of the relationship between variables, determine how the expected cell frequencies of the contingency table depend on the levels of categorical variables and on the interactions between them. The course materials assume that students are familiar with the basic concepts and methods of Calculus, Probability Theory and Mathematical Statistics courses from the 1st and 2nd years of the bachelor’s programme