Discrete Choice Methods with Simulation 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Discrete Choice Methods with Simulation

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Kenneth E. Train 作者
Cambridge University Press
譯者
2003-01-13 出版日期
334 頁數
USD 31.99 價格
Paperback
叢書系列
9780521017152 圖書編碼

Discrete Choice Methods with Simulation 在線電子書 圖書標籤: econometrics  Discrete_Choice_Model  計量經濟學  經濟學  計算機  經濟,政治和曆史  數學和計算機  數學   


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Discrete Choice Methods with Simulation 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Discrete Choice Methods with Simulation 在線電子書 用戶評價

評分

Dabbling into machine learning just makes me appreciate these models more. Biased as I may be as a theorist, but seriously how elegant and fundamental the classical micro theory is! Empirical techniques and topics are shared among disciplines. Like it or not what sits at the heart of econ is utilitarian philosophy and the math-like methodology

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comprehensive and fairly readable

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我個人見過的在discrete choice models上推導最細緻的教材

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居然看懂瞭!灑傢這輩子也值瞭_(:з」∠)_啊其實就是救瞭考試不至於最高60…

評分

Dabbling into machine learning just makes me appreciate these models more. Biased as I may be as a theorist, but seriously how elegant and fundamental the classical micro theory is! Empirical techniques and topics are shared among disciplines. Like it or not what sits at the heart of econ is utilitarian philosophy and the math-like methodology

Discrete Choice Methods with Simulation 在線電子書 著者簡介

Kenneth E. Train

University of California, Berkeley

Contact Information

University of California

Department of Economics

530 Evans Hall #3880

Berkeley CA 94720-3880

Voice: 415-291-1023

Fax: 415-291-1020

train@econ.berkeley.edu


Discrete Choice Methods with Simulation 在線電子書 著者簡介


Discrete Choice Methods with Simulation 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Discrete Choice Methods with Simulation 在線電子書 圖書描述

Focusing on the many advances that are made possible by simulation, this book describes the new generation of discrete choice methods. 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. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

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