Abstract
In this chapter, we introduce a family of models de ned by compounding two (a continuous and other discrete) distributions. The new family has as limiting case the adopted baseline distribution. The generated models are frequently more exible than the baseline distributions. Several mathematical properties such as moments, quantile and generating functions, among others, are provided. Further, the estimation procedure is approched by maximum likelihood. The potentiality of the family of models is illustrated by means of two applications to real data.
Keywords: BSPS; BXIIPS; Compounding Models; EWPS; Generating function; Moment; Order statistic; WPS.
Related Books
Advances in Sampling Theory-Ratio Method of Estimation
Advances in Time Series Forecasting
Advances in Time Series Forecasting
Concepts and Recent Advances in Generalized Information Measures and Statistics
Exponential Data Fitting and its Applications
Predictive Analytics Using Statistics and Big Data: Concepts and Modeling
Probability Theory for Fuzzy Quantum Spaces with Statistical Applications
Reliability Calculations with the Stochastic Finite Element
Introductory Statistical Procedures with SPSS