가산자료(count data)모형을 적용한 저비용항공사의 수요결정요인 추정 연구

' 가산자료(count data)모형을 적용한 저비용항공사의 수요결정요인 추정 연구' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 지리
  • countdata
  • lowcostcarriers
  • selective attributes
  • truncated negative binomial model
  • truncated poisson model
  • 가산자료
  • 선택속성
  • 저비용 항공사
  • 절삭된 음이항모형
  • 절삭된 포아송모형
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
2,086 0

0.0%

' 가산자료(count data)모형을 적용한 저비용항공사의 수요결정요인 추정 연구' 의 참고문헌

  • 해양관광 방문수요 및 지출결정요인에 관한 연구* - 다도해해상국립공원 방문객을 중심으로 -
    이승길 관광연구 25 (1) : 147 ~ 166 [2010]
  • 항공승객의 서비스만족도 및 고객 불평행동 분석:국적항공사를 중심으로
    김정만 이향정 차석빈 관광연구 16 (1) : 75 ~ 93 [2002]
  • 항공사조직의 서비스지향성이 기업성과에 미치는 영향
    김재원 관광레저연구 18 (4) : 93 ~ 113 [2006]
  • 항공사의 서비스품질과 고객만족이 고객충성도에 미치는영향 : 국제선항공서비스를 중심으로
    박진영 大邱大學校 大學院 [1999]
  • 박사
  • 주요 항공사 이미지속성 분석에 관한 실증적 연구
    이동희 생산성논집 15 (3) : 301 ~ 324 [2001]
  • 주5일 근무제가 관광수요에 미치는 영향
    이희찬 관광학연구 28 (1) : 43 ~ 61 [2004]
  • 조선일보, 2013, 4, 3 기사
  • 절단된 포아송(TP)모형을 활용한 골프수요 영향요인 연구
    소국섭 관광학연구 31 (2) : 9 ~ 27 [2007]
  • 전시관람수요인 결정요인: 절단된 가산자료모형의 적용
    이희찬 관광학연구 28 (3) : 307 ~ 326 [2004]
  • 저비용항공사의 소비자 선택속성 평가에 의한 고객만족과 애호도에 관한연구
    김재원 관광레저연구 23 (4) : 257 ~ 273 [2011]
  • 저비용 항공사의 기대된 서비스 품질이 고객만족과 이용의도에 미치는 영향에 관한 연구: 저비용 항공사와 일반 항공사의 비교를 중심으로
    김병재 한국항공경영학회지 7 (1) : 87 ~ 100 [2009]
  • 우리나라 저비용항공사의 성공요인에 관한 실증적 연구
    김재원 최나리 관광레저연구 22 (4) : 267 ~ 282 [2010]
  • 우리나라 航空社의 國際線 旅客運送 서비스마아케팅 戰略에 관한 연구
    鄭益駿 釜山大學校 大學院 [1992]
  • 맥주전문바 이용객의 방문빈도 결정요인 및 한계효과: 강남지역의 맥주 전문바를 중심으로
    김연선 외식경영연구 11 (3) : 73 ~ 94 [2008]
  • 내수면어종 수요의 결정요인 분석
    이희찬 해양정책연구 24 (11) : 77 ~ 102 [2009]
  • 기내서비스와 항공사 이미지간의 관계에 관한 연구
    박혜숙 東亞大學校 經營大學院 [1999]
  • 박사
  • 강원랜드 여성방문수요 결정요인 연구
    소국섭 호텔관광연구 10 (1) : 224 ~ 236 [2008]
  • Using count data models in travel cost analysis with aggregate data
    Hellerstein, D. American Journal of Agricultural Economics 73 (8) : 860 ~ 866 [1991]
  • Tourism destination preferences of low-cost airline users in the East Midlands
    Davison, L. Journal of Transport Geography 18 : 458 ~ 465 [2010]
  • The use of count data models in travel cost analysis : An application to the boundary waters canoe area
    Hellerstein, D. Yale University [1989]
  • The propensity of business travellers to use low-cost airlines
    Mason, K. J. Journal of Transport Geography 8 (2) : 107 ~ 119 [2000]
  • The impact of low-cost carriers on airport and route competition
    Dresner, M. Journal of Transport Economics and Policy 30 : 309 ~ 328 [1996]
  • The impact of low cost carriers on Korean Island tourism
    Chung, J. Y. Journal of Transport Geography 19 : 1335 ~ 1340 [2011]
  • The impact of low cost airline operations to Malta
    Graham, A. Journal of Air Transport Management 16 (3) : 127 ~ 136 [2010]
  • The effect of low-cost air transportation on the local economy evidence from Southern Italy
    Donzelli, M. Journal of Air Transport Management 16 (3) : 121 ~ 126 [2010]
  • The effect of a major cigarette price change on smoking behavior in California : a zero-inflated negative binomial model
    Sheu, M. Health Econ 13 : 781 ~ 791 [2004]
  • Tests for detecting overdispersion in Poisson regression models
    Dean, C. Journal of the American Statistical Association 84 : 467 ~ 472 [1989]
  • Service quality and customer loyalty in the commercial airline industry
    Ostrowsky, P. L. Journal of Travel Research (fall) : 16 ~ 24 [1993]
  • Regression Analysis of Count Data
    Cameron, A. C. Cambridge University Press [1998]
  • Recreation value of wetland in the San Joaquin Valley : Linked multinomial logit and count data trip frequency models
    Creel, M. Water Resources Research 28 (10) : 2597 ~ 2606 [1992]
  • Passengers’ perceptions of low cost airlines and full service carriers : a case study involving Ryanair, Aer Lingus
    O’Connell, J. F. Journal of Air Transport Management 11 : 259 ~ 272 [2005]
  • Opaque Web practices among low-cost carriers
    Torres, A. M. Journal of Air Transport Management 15 : 299 ~ 207 [2009]
  • Models for truncated counts
    Grogger, J. T. Journal of Applied Econometrics 6 : 225 ~ 238 [1991]
  • Models for Count from Choice Based Sample
  • Marketing Low-cost Airline Service to Business Travellers
    Mason, K. J. Journal of Air Transport Management 7 : 103 ~ 109 [2001]
  • Market entry of a low cost airline and impacts on the Brazilian business travellers
    Evangello, F. Journal of Air Transport Management 11 : 99 ~ 105 [2005]
  • Making better decisions: From measuring to constructing preferences
    Johnson, E. J. Health Psychology 24 (Suppl, 4) : 17 ~ 22 [2005]
  • Low-cost carriers in Australia : experiences and impacts
    Forsyth, P. Journal of Air Transport Management 9 : 277 ~ 284 [2003]
  • Incompatibilities of the low-cost and network carrier business models within the same airline grouping
    Graf, L. Journal of Air Transport Management 11 : 313 ~ 327 [2005]
  • Impact of the adherence to the original low-cost model on the profitability of low-cost airlines
    Alamdari, F. Transport Reviews 25 : 377 ~ 392 [2005]
  • How do the demands for airport services differ between full-service carriers and low-cost carriers?
    Barrett, S. D. Journal of Air Transport Management 10 : 33 ~ 39 [2004]
  • Heterogeneity considerations in accident modeling
    Karlaftis, M. Accident Analysis and Prevention 20 (4) : 425 ~ 433 [1998]
  • Frequent Flyer Programs for European Low-cost Airlines : Prospects, Risks and Implementation Guidelines
    Klophaus, R. Journal of Air Transport Management 11 (5) : 348 ~ 353 [2005]
  • Factors influencing the intentions of passengers regarding full service and low cost carriers : A note
    Chiou, Y-C. Journal of Air Transport Management 16 : 226 ~ 228 [2010]
  • Excess zeros in count models for recreational trips
    Gurmu, S. Journal of Business and Economics Statistics 14 (4) : 469 ~ 477 [1996]
  • Examining low cost carrier service quality in China market
    Shon, J. Z. 12th Air Transport Research Society World Conference, Athens [2008]
  • Estimating social welfare using count data models : An application to long-run recreation demand under conditions of endogenous stratification and truncation
    Englin, J. The Review of Economics and Statistics 77 : 104 ~ 112 [1995]
  • Establishing a measure of airline preference for business and non-business travelers
    Etherington, L. D. Journal of Travel Research 22 : 22 ~ 27 [1984]
  • Endogenously chosen travel costs and the travel cost model : An application to mounting biking at Moab, Utah
    Fix, P. Applied Economics 32 (10) : 1227 ~ 1238 [2000]
  • Effects of cross-strait by low cost carriers. Working paper
  • Econometrics models based on count data : Comparisons and applications of some estimators and tests
    Cameron, A. C. Journal of Applied Econometrics 1 : 29 ~ 53 [1986]
  • Econometric Analysis
    Greene, W. Macmillan Publishing Company [1993]
  • EU network carriers, low cost carriers and consumer behavior : a Delphi study of future trends
    Mason, K. J. Journal of Air Transport Management 13 : 299 ~ 210 [2007]
  • Determinant of Selection of Full-service Airlines and Low-cost Carriers-A Note on Business Travellers in South Africa
    Fourie, C. Journal of Air Transport Management 12 (2) : 98 ~ 102 [2006]
  • Customer satisfaction using low cost carriers
    Kim, Y. K. Tourism Management 32 (2) : 235 ~ 243 [2011]
  • An analysis of European low-cost airlines and their networks
    Dobruszkes, F. Journal of Transport Geography 14 : 249 ~ 264 [2006]
  • Airports’ perspectives on the growth of low-cost airlines and the remodeling of the airport–airline relationship
    Francis, G. Tourism Management 25 : 507 ~ 514 [2004]
  • A Theoretical foundation forcount data models
    Hellerstein Hellerstein, D. Mendelson American Journal of Agricultural Economics 75 : 604 ~ 611 [1993]