This article concerns the problem of predicting the size of company's customer base in case of solving the task of managing its clients. The author purposes a new approach to segment-oriented predicting the size of clients based on adopting the Staroverov's employees moving model. Besides the article includes the limitations of using this model and its modification for each type of relations of the client and the company.
Statistical Models and Methods for Reliability and Survival Analysis is a volume of contributions by specialists in statistical theory and their applications that provide up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability among others. Many of them are related to the work of Professor M. Nikulin in statistics for thirty years. The contributors accepted this challenging project to gather various contributions with a wide broad of techniques and results, all of them in the topics of the past S2MRSA conference dedicated to M. Nikulin for his twentieth anniversary as a Professor in the Bordeaux Segalen University. The book is intended for researchers interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non censored data.