Reading more on managing the doctoral dissertation.

This book on managing the writing of a doctoral dissertation can be applied to a master thesis as well. This is what I am using this book for. I read another chapter, this one about selecting an adviser and a committee. I then a few hours later read the list of potential advisers in systems science and circled on this list all the research areas of the advisers that corresponded to topics I am either interested in pursuing such as computer crime or web applications, or topics that I have a background such as statistical inference, numerical methods, and ecology.

A possible topic I chose tonight was general statistics of experiments with error bound measurements. Apparently most statistical models assume error free measurement or perfect measurement. But many science studies and use of instrumentation uses a possible error based on an assumption of errors in measurement. Also apparently error such as measurement error can simply be included in the error term in a statistical model. But perhaps there is a whole other set of models and theories where error bound measurements are the basis rather than perfect measure. I could explore this from a systems approach and develop a whole other system of statistical inference models if such models exist.