| LDR | | 01983nam u200637 4500 |
| 001 | | 000000470343 |
| 005 | | 20220223115232 |
| 008 | | 220131s2018 us ||||||||||||||c||eng d |
| 020 | |
▼a 9798535519630 |
| 035 | |
▼a (MiAaPQ)AAI28735387 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 330 |
| 100 | 1 |
▼a Copeland, Nicholas Marhsall. |
| 245 | 10 |
▼a Heterogeneous Preferences and Optimal Release Timing in the U.S. Film Industry. |
| 260 | |
▼a [S.l.]:
▼b Rice University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 72 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-03, Section: A. |
| 500 | |
▼a Advisor: Tang, Xun. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Rice University, 2018. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 590 | |
▼a School code: 0187. |
| 650 | 4 |
▼a Sparsity. |
| 650 | 4 |
▼a Release dates. |
| 650 | 4 |
▼a Horror films. |
| 650 | 4 |
▼a Random variables. |
| 650 | 4 |
▼a Audiences. |
| 650 | 4 |
▼a Theaters & cinemas. |
| 650 | 4 |
▼a Estimates. |
| 650 | 4 |
▼a Tomatoes. |
| 650 | 4 |
▼a Optimization. |
| 650 | 4 |
▼a Critics. |
| 650 | 4 |
▼a Competition. |
| 650 | 4 |
▼a Monte Carlo simulation. |
| 650 | 4 |
▼a Animated films. |
| 650 | 4 |
▼a Genre. |
| 650 | 4 |
▼a Algorithms. |
| 650 | 4 |
▼a Streaming media. |
| 690 | |
▼a 0501 |
| 690 | |
▼a 0505 |
| 710 | 20 |
▼a Rice University.
▼b Economics. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 83-03A. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0187 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16054760
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202202
▼f 2022 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |