Multibrand Transition Probabilities as a Function of Explanatory Variables: Estimation by a Least-Squares-Based Approach
提出一个模型，将多品牌市场的一阶马尔可夫转移概率与解释变量联系起来，并通过受限加权最小二乘法估计参数，实证展示了模型的结构、拟合优度和预测有效性。
A model is formulated to express the relationship between first-order Markov transition probabilities for a multibrand market and explanatory variables. The author shows that the parameters of the model can be estimated through a proposed restricted weighted least squares procedure. An empirical implementation of the estimation procedure illustrates the structure, goodness of fit, and predictive validity of the proposed model.