Estimation and Variance Estimation for the Bilateral Sub-system to Produce Air Scheduled International Passengers Origin and Destination Statistics PDF Download
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Author:
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ISBN:
Category :
Languages : en
Pages : 55
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Book Description
In the Air Scheduled International Passenger Origin and Destination Survey, calculation of the standard deviation and the coefficient of variation is a long, complicated process, very inconvenient for the users of the estimates who need speed. These users would therefore like to have a rapid method of computing the coefficient of variation.This study developed an efficient method of approximating the coefficients of variation without using actual sample data excepting market size. The method was then used to construct no more than 6 tables and charts containing the coefficients of variation cross-classified with a limited number of variables. The study was based on scheduled international flight data for 1982, examining variables for passenger volume, type of flight, airports of origin and destination, and carrier and proration percentage.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 55
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Book Description
In the Air Scheduled International Passenger Origin and Destination Survey, calculation of the standard deviation and the coefficient of variation is a long, complicated process, very inconvenient for the users of the estimates who need speed. These users would therefore like to have a rapid method of computing the coefficient of variation.This study developed an efficient method of approximating the coefficients of variation without using actual sample data excepting market size. The method was then used to construct no more than 6 tables and charts containing the coefficients of variation cross-classified with a limited number of variables. The study was based on scheduled international flight data for 1982, examining variables for passenger volume, type of flight, airports of origin and destination, and carrier and proration percentage.
Author: R. Carpenter
Publisher:
ISBN:
Category :
Languages : en
Pages : 76
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"The purpose of the Air Scheduled International Passenger Origin and Destination (ASIPOD) system is to provide information on the flow of passengers on international flights"--Abstract.
Author:
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ISBN:
Category : Canada
Languages : en
Pages : 1054
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Book Description
An indexing, abstracting and document delivery service that covers current Canadian report literature of reference value from government and institutional sources.
Author: Statistics Canada. Library
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 132
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Author: American Statistical Association. Business and Economic Statistics Section
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 626
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Author: A. M. Lester
Publisher:
ISBN:
Category : Aeronautics, Commercial
Languages : en
Pages : 24
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Author:
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ISBN:
Category : Aeronautics, Commercial
Languages : en
Pages : 22
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Author: M. Mikolajczyk
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Category : Airlines
Languages : en
Pages : 46
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Author: Christopher Andrew Boyer
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Category :
Languages : en
Pages : 170
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Book Description
The emergence of less restricted fare structures in the airline industry reduced the capability of airlines to segment demand through restrictions such as Saturday night minimum stay, advance purchase, non-refundability, and cancellation fees. As a result, new forecasting techniques such as Hybrid Forecasting and optimization methods such as Fare Adjustment were developed to account for passenger willingness-to- pay. This thesis explores statistical methods for estimating sell-up, or the likelihood of a passenger to purchase a higher fare class than they originally intended, based solely on historical booking data available in revenue management databases. Due to the inherent sparseness of sell-up data over the booking period, sell-up estimation is often difficult to perform on a per-market basis. On the other hand, estimating sell-up over an entire airline network creates estimates that are too broad and over-generalized. We apply the K-Means clustering algorithm to cluster markets with similar sell-up estimates in an attempt to address this problem, creating a middle ground between system-wide and per-market sell-up estimation. This thesis also formally introduces a new regression-based forecasting method known as Rational Choice. Rational Choice Forecasting creates passenger type categories based on potential willingness-to-pay levels and the lowest open fare class. Using this information, sell-up is accounted for within the passenger type categories, making Rational Choice Forecasting less complex than Hybrid Forecasting. This thesis uses the Passenger Origin-Destination Simulator to analyze the impact of these forecasting and sell-up methods in a controlled, competitive airline environment. The simulation results indicate that determining an appropriate level of market sell-up aggregation through clustering both increases revenue and generates sell-up estimates with a sufficient number of observations. In addition, the findings show that Hybrid Forecasting creates aggressive forecasts that result in more low fare class closures, leaving room for not only sell-up, but for recapture and spill-in passengers in higher fare classes. On the contrary, Rational Choice Forecasting, while simpler than Hybrid Forecasting with sell-up estimation, consistently generates lower revenues than Hybrid Forecasting (but still better than standard pick-up forecasting). To gain a better understanding of why different markets are grouped into different clusters, this thesis uses regression analysis to determine the relationship between a market's characteristics and its estimated sell-up rate. These results indicate that several market factors, in addition to the actual historical bookings, may predict to some degree passenger willingness-to-pay within a market. Consequently, this research illustrates the importance of passenger willingness-to-pay estimation and its relationship to forecasting in airline revenue management.
Author: Andrei Rogers
Publisher: Springer Science & Business Media
ISBN: 9048189152
Category : Social Science
Languages : en
Pages : 172
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Book Description
This book presents the culmination of our collaborative research, going back over 15 years (Rogers & Little, 1994), and for one of us, even longer (Rogers, 1967, 1973). It addresses a dif?cult, yet necessary, area of demographic research: what to do in data situations characterized by irregular, inadequate, or missing data. A common solution within the demographic community has been what is generally referred to as “indirect estimation”. In our work the focus has been on the indirect estimation of migration, and our use of the term “indirect” follows the description given in the 1983 United Nations manual, which de?ned it as “techniques suited for analysis of incomplete or defective demographic data” (United Nations, 1983, p. 1). We wrote this book with a goal to make it accessible to a reader familiar with introductory statistical modeling, at the level of regression and categorical data an- ysis using log – linear models. It is primarily intended to serve as a reference work for demographers, sociologists, geographers, economists, and regional planners.
