Dr Hassan Doosti, Department of Mathematics and Statistics, Macquarie University. Sydney, Australia.
Data plays a vital role in different parts of our lives. In the world of big data, and policy determined by a variety of statistical artifacts, discussions around the ethics of data gathering, manipulation and presentation are increasingly important. This book aims to make a significant contribution to that debate.
The processes of gathering data through sampling, summarising of the findings, and extending results to a population, need to be checked via an ethical prospective, as well as a statistical one.
Statistical learning without ethics can be harmful for mankind.
In this edited book, we invite all experts in the field of data science, data analytics and statistics to share their thoughts about the role of ethics in different aspects of statistical learning. Topics might include ethics in statistical consultations, data preparation, estimation, testing of hypothesis and forecasting, statistical learning, forecasting.
A Chapter will normally be between 3000 and 6000 words, but these are not strict word limits, and can be discussed with the Editor. They should be written in English, and presented to the Editor complete and free of spelling and grammar errors. Please see our Manuscript Submission Guidelines for more information.
Chapter Authors will be asked to sign a simple Contributor Agreement, and to warrant that a Chapter does not infringe any copyright or other rights, and that the Author holds the rights to publish the work.