資料來源: Google Book
Logit models from economics and other fields
- 作者: Cramer, J. S.
- 出版: Cambridge, UK ;New York : Cambridge University Press 2003.
- 稽核項: 1 online resource (x, 173 pages) :illustrations.
- 標題: Logit-Modell , Ökonometrie , BUSINESS & ECONOMICS Econometrics. , Modèles économétriques. , Electronic books. , Econometric models. , Econometrics. , BUSINESS & ECONOMICS Statistics. , BUSINESS & ECONOMICS , Econometrische modellen. , Regressieanalyse. , Logits. , Statistics. , Modellierung
- ISBN: 0521188032 , 9780521188036
- ISBN: 0521815886 , 9780521188036
- 試查全文@TNUA:
- 附註: Includes bibliographical references (pages 158-165) and indexes. Cover; Title; Copyright; Contents; List of figures; List of tables; Preface; 1 Introduction; 2 The binary model; 3 Maximum likelihood estimation of the binary logit model; 4 Some statistical tests and measures of fit; 5 Outliers, misclassification of outcomes, and omitted variables; 6 Analyses of separate samples; 7 The standard multinomial logit model; 8 Discrete choice or random utility models; 9 The origins and development of the logit model; Bibliography; Index of authors; Index of subjects.
- 摘要: This text for graduates and practitioners explains the theory underlying logit analysis and the technique of estimation. There are many illustrations and worked examples as well as a large online data set for practice. Although inspired by economics, the book pays due attention to developments in medicine and other fields.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=120516
- 系統號: 005321853
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
Originating in economics but now used in a variety of disciplines, including medicine, epidemiology and the social sciences, this book provides accessible coverage of the theoretical foundations of the Logit model as well as its applications to concrete problems. It is written not only for economists but for researchers working in disciplines where it is necessary to model qualitative random variables. J.S. Cramer has also provided data sets on which to practice Logit analysis.
來源: Google Book
來源: Google Book
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