Applied Stochastic Modelling

Discover the comprehensive insights of Applied Stochastic Modelling by Byron J. T. Morgan, published by Taylor & Francis Ltd in 2017. This second edition spans 368 pages and delves into both contemporary and classical aspects of statistics. Key topics include survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap methods, and generalized linear models.

This essential resource empowers readers with the ability to utilize powerful computational tools for effective stochastic modelling. Whether you're a student, researcher, or practitioner in the field, this book is designed to enhance your understanding and application of stochastic processes. Elevate your statistical knowledge and analytical skills with this authoritative guide.