Regression models for categorical dependent variables using Stata

• 作者： Long, J. Scott. author.
• 其他作者：
  • Freese, Jeremy. author.
• 出版： College Station, Texas : Stata Press Publication, StataCorp LP
• 版本：Third edition.
• 主題： Regression analysis , Social sciences--Statistical methods--Data processing. , Stata.
• ISBN： 9781597181112 (pbk.): GBP48.13 、 1597181110 (pbk)
• 資料類型: 圖書
• 內容註: Includes bibliographical references (pages 561-568) and indexes. Introduction -- Introduction to Stata -- Estimation, testing, and fit -- Methods of interpretation -- Models for binary outcomes : estimation, testing, and fit -- Models for binary outcomes : interpretation -- Models for ordinal outcomes -- Models for nominal outcomes -- Models for count outcomes.
• More
• 摘要註: After reviewing the linear regression model and introducing maximum likelihood estimation, Long extends the binary logit and probit models, presents multinomial and conditioned logit models and describes models for sample selection bias.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: