Видео ютуба по тегу Stata New

Overview of what's new in Stata 19
Overview of what's new in Stata 19
Управление данными в Stata: как создавать новые переменные (пошаговая инструкция)
Управление данными в Stata: как создавать новые переменные (пошаговая инструкция)
Обзор интерфейса Stata 19
Обзор интерфейса Stata 19
Data management: How to create a new variable that is calculated from other variables
Data management: How to create a new variable that is calculated from other variables
create new variable using STATA
create new variable using STATA
Новое в Stata 19: улучшения настраиваемых таблиц
Новое в Stata 19: улучшения настраиваемых таблиц
STATA for beginners course: Stats basics, creating variables, data entry, descriptive stats
STATA for beginners course: Stats basics, creating variables, data entry, descriptive stats
New in Stata 18: New features in the Data Editor
New in Stata 18: New features in the Data Editor
What's new in Stata 18: An overview
What's new in Stata 18: An overview
New in Stata 19: Correlated random-effects model and Mundlak specification test
New in Stata 19: Correlated random-effects model and Mundlak specification test
New in Stata 19: Enhancements to the Do-file Editor
New in Stata 19: Enhancements to the Do-file Editor
New in Stata 18: Creating and exporting tables of descriptive statistics
New in Stata 18: Creating and exporting tables of descriptive statistics
Обзор интерфейса Stata 17
Обзор интерфейса Stata 17
New in Stata 19: Panel-data vector autoregressive model
New in Stata 19: Panel-data vector autoregressive model
New in Stata 19: Machine learning via H2O: Ensemble decision trees
New in Stata 19: Machine learning via H2O: Ensemble decision trees
Opening New Stata Files in Old Versions of Stata
Opening New Stata Files in Old Versions of Stata
Новое в Stata 16: работа с несколькими наборами данных с использованием фреймов
Новое в Stata 16: работа с несколькими наборами данных с использованием фреймов
New in Stata 19: Bayesian variable selection for linear regression
New in Stata 19: Bayesian variable selection for linear regression