Monte Carlo simulation has become one of the most important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These "pseudorandom" numbers must pass statistical tests just as random samples would. Methods for producing pseudorandom numbers and transforming those numbers to simulate samples from various distributions are among the most important topics in statistical computing. This book surveys techniques of random number generation and the use of random numbers in Monte Carlo simulation. The book covers basic principles, as...

Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated...

John Chambers takes what, for many, is the incomprehensible subject of quantum physics and simplifies it with ease as he establishes a strong connection between spirituality and science. Written specifically for those with no prior knowledge in the field of physics, he begins by effortlessly explaining its history and development. He then shows how the universe can be modeled as a hologram, and how this holographic perspective resolves many of the paradoxes of quantum physics.

From there, he develops a quantum physical model for the soul, using a theory known as loop quantum gravity,...