Simulation experiments in practice: statistical design and regression analysis

Design of Experiments: Statistical Principles of Research Design and Analysis

Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing design of ...

Analysis for the Design of Simulation Experiments

This paper will be Chapter 13 in Simulation in the Elsevier series of Handbooks in Operations Research and Management Science, edited by Shane Henderson and Barry Nelson. Herein we discuss analysis for the design of simulation experiments. By that we mean, not the traditional (important) methods to design statistical experiments, but rather techniques that can be used, before a simulation is co...

Potential Statistical Evidence in Experiments and Renyi Information

Recently Habibi et al. (2006) defined a pre-experimental criterion for the potential strength of evidence provided by an experiment, based on Kullback-Leibler distance. In this paper, we investigate the potential statistical evidence in an experiment in terms of Renyi distance and compare the potential statistical evidence in lower (upper) record values with that in the same number of ii...

Analysis of Variance, Design, and Regression: Applied Statistical Methods

Analysis and Design of Metabolic Networks - Experiments and Computer Simulation

Understandig of the function of complex metabolic networks and methods for their rational design, e.g. for the overproduction of metabolites or for the abatement of metabolically related diseases, are still in its infancy compared to their real complexity. Using the increasing knowledge about genome sequences and its bioinformatic exploration, whole genome network analysis and design is increas...