Основы регрессионного моделирования для психологов. Вадим Дорофеев

Читать онлайн.
Название Основы регрессионного моделирования для психологов
Автор произведения Вадим Дорофеев
Жанр Учебная литература
Серия
Издательство Учебная литература
Год выпуска 0
isbn 9785927525492



Скачать книгу

id="n8">

      8

      Математическая статистика / В. М. Иванова [и др.].

      9

      В силу того, что мы в учебном пособии ниже будем обращаться к нормальному закону распределения, его краткая характеристика, параметры и способы проверки представлены в прил. 2.

      10

      Наследов А. Д. Математические методы в психологическом исследовании. С. 49.

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