Chi-Squared Goodness-of-Fit Tests With Applications

摘要

Goodness-of-fit tests have been extensively investigated in the statistical literature over the years. One of the most well known is the chi-squared goodness-of-fit test, proposed by Karl Pearson over 100 years ago. A Google Scholar search for the phrase "chi-square goodness of fit" returned more than 20,000 hits, and in 2013 alone there are already over 1000 hits. There is no doubt that this area of research is of great interest to researchers in science and technology. The authors of this monograph are experts in this area and have developed, over the years, numerous new theoretical results and methods that have significantly advanced the use of chi-squared goodness-of-fit tests in statistics and its applications.