J. K. Dagsvik and G. Liu, “A Framework for Analyzing Rank-Ordered Data with Application to Automobile Demand,” Transportation Research Part A: Policy and Practice, Vol. 43, No. 1, 2009, pp. 1-12.

has been cited by the following article:

• TITLE: Demanding Model of Automobile Loan Using Stochastic Theory

  AUTHORS: Zheng Wang

  KEYWORDS: Automobile Loan, Conditional Expectation, Throughout Probability Theory

  JOURNAL NAME: Technology and Investment, Vol.1 No.3, August 27, 2010

  ABSTRACT: We propose a double forecasting model using stochastic theory .The demand of automobile loan is the sum of all compound variables which indicated that automobile loan was credited to customer occurring in a certain period of time. Probability distribution of automobile loan was acquired using throughout probability theory. In view of such a fact, demand of automobile loan can be viewed as a conditional mathematic expectation. The forecasting model is proposed using growing function. Theoretical analysis and Case study shows that model based on conditional expectation is better than other model available with respect to forecasting demand of automobile loan.