Books by Yan Liu

Many models have been devised to analyze urbanization and the physical, socioeconomic, and institutional factors impacting urban development. This book presents a simulation model of urban development based on cellular automata principles and provides theoretical context. The first part of the text supplies a practical review of modeling techniq

The book is the first thorough study of the role of phosphorus chemistry in the origin of life. This book starts with depiction of the phosphorus role in life creation and evolution. Then it outlines in vital processes how different phosphorus-containing compounds participate as biomarker in life evolution. Written by renowned scientists, it is suitable for researchers and students in organic phosphorus chemistry, biochemistry and etc.

Demonstrates how to solve reliability problems using practical applications of Bayesian modelsThis self-contained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding.Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, Metropolis-Hastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more.* Provides a step-by-step approach for developing advanced reliability models to solve complex problems, and does not require in-depth understanding of statistical methodology* Educates managers on the potential of Bayesian reliability models and associated impact* Introduces commonly used predictive reliability models and advanced Bayesian models based on real life applications* Includes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studies* JAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applicationsPractical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance.

The first retrospective of a true master of Chinese Art, published to coincide with an exhibition at the Ashmolean which runs from 7 November 2017 to 15 April 2018.

Many models have been devised to analyze urbanization and the physical, socioeconomic, and institutional factors impacting urban development. This book presents a simulation model of urban development based on cellular automata principles and provides theoretical context.