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| 008 | 110725s2009 enka b 001 0 eng d | |
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| 020 | ▼a 9780521766555 (hardback) | |
| 020 | ▼a 0521766559 (hardback) | |
| 020 | ▼a 9780521747387 (pbk.) | |
| 020 | ▼a 0521747384 (pbk.) | |
| 035 | ▼a (KERIS)REF000015310743 | |
| 040 | ▼a DLC ▼c DLC ▼d BTCTA ▼d C#P ▼d CDX ▼d BWX ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a HD30.23 ▼b .T725 2009 |
| 082 | 0 0 | ▼a 003/.56 ▼2 22 |
| 084 | ▼a 003.56 ▼2 DDCK | |
| 090 | ▼a 003.56 ▼b T768d2 | |
| 100 | 1 | ▼a Train, Kenneth. |
| 245 | 1 0 | ▼a Discrete choice methods with simulation / ▼c Kenneth E. Train. |
| 250 | ▼a 2nd ed. | |
| 260 | ▼a Cambridge ; ▼a New York : ▼b Cambridge University Press, ▼c 2009. | |
| 300 | ▼a x, 388 p. : ▼b ill. ; ▼c 23 cm. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Decision making ▼x Simulation methods. |
| 650 | 0 | ▼a Consumers' preferences ▼x Simulation methods. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 003.56 T768d2 | 등록번호 111636172 (19회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
정보제공 :
목차
1. Introduction; Part I. Behavioral Models: 2. Properties; 3. Logit; 4. GEV; 5. Probit; 6. Mixed logit; 7. Variations on a theme; Part II. Estimation: 8. Numerical maximization; 9. Drawing from densities; 10. Simulation-assisted estimation; 11. Individual-level parameters; 12. Bayesian procedures; 13. Endogeneity; 14. EM algorithms.
정보제공 :