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Heterogeneous Preferences and Optimal Release Timing in the U.S. Film Industry
Heterogeneous Preferences and Optimal Release Timing in the U.S. Film Industry
Heterogeneous Preferences and Optimal Release Timing in the U.S. Film Industry

Detailed Information

자료유형  
 학위논문파일 국외
최종처리일시  
20220210094446
ISBN  
9798535519630
DDC  
330
저자명  
Copeland, Nicholas Marhsall.
서명/저자  
Heterogeneous Preferences and Optimal Release Timing in the U.S. Film Industry
발행사항  
[Sl] : Rice University, 2018
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항  
72 p
주기사항  
Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
주기사항  
Advisor: Tang, Xun.
학위논문주기  
Thesis (Ph.D.)--Rice University, 2018.
사용제한주기  
This item must not be sold to any third party vendors.
일반주제명  
Sparsity
일반주제명  
Release dates
일반주제명  
Horror films
일반주제명  
Random variables
일반주제명  
Audiences
일반주제명  
Theaters & cinemas
일반주제명  
Estimates
일반주제명  
Tomatoes
일반주제명  
Optimization
일반주제명  
Critics
일반주제명  
Competition
일반주제명  
Monte Carlo simulation
일반주제명  
Animated films
일반주제명  
Genre
일반주제명  
Algorithms
일반주제명  
Streaming media
키워드  
Heterogeneous preferences
키워드  
Random coefficients
키워드  
Demand estimation
키워드  
Film
키워드  
Film industry
키워드  
Movies
키워드  
Optimal instruments
기타저자  
Rice University Economics
기본자료저록  
Dissertations Abstracts International. 83-03A.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008220131s2018        us                              c    eng  d
■001000016054760
■00520220210094446
■020    ▼a9798535519630
■035    ▼a(MiAaPQ)AAI28735387
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a330
■1001  ▼aCopeland,  Nicholas  Marhsall.
■24510▼aHeterogeneous  Preferences  and  Optimal  Release  Timing  in  the  U.S.  Film  Industry
■260    ▼a[Sl]▼bRice  University▼c2018
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2018
■300    ▼a72  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-03,  Section:  A.
■500    ▼aAdvisor:  Tang,  Xun.
■5021  ▼aThesis  (Ph.D.)--Rice  University,  2018.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0187.
■650  4▼aSparsity
■650  4▼aRelease  dates
■650  4▼aHorror  films
■650  4▼aRandom  variables
■650  4▼aAudiences
■650  4▼aTheaters  &  cinemas
■650  4▼aEstimates
■650  4▼aTomatoes
■650  4▼aOptimization
■650  4▼aCritics
■650  4▼aCompetition
■650  4▼aMonte  Carlo  simulation
■650  4▼aAnimated  films
■650  4▼aGenre
■650  4▼aAlgorithms
■650  4▼aStreaming  media
■653    ▼aHeterogeneous  preferences
■653    ▼aRandom  coefficients
■653    ▼aDemand  estimation
■653    ▼aFilm
■653    ▼aFilm  industry
■653    ▼aMovies
■653    ▼aOptimal  instruments
■690    ▼a0501
■690    ▼a0505
■71020▼aRice  University▼bEconomics.
■7730  ▼tDissertations  Abstracts  International▼g83-03A.
■773    ▼tDissertation  Abstract  International
■790    ▼a0187
■791    ▼aPh.D.
■792    ▼a2018
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16054760▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202202▼f2022

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