Regression Analysis of Count Data A. Colin Cameron
Publisher: Cambridge University Press

Multiple regression with ANOVA and ANCOVA models. Economics Bulletin, 30, 2936-2945. Of course, this analysis might be too simple by half. The Hermite distribution is a generalized Hermite regression analysis of multi-modal count data. Bar some exceptions, most big data insights today are based on simple counting, linear correlations or at best based on impoverished models like linear regression. Binary and multinomial response models. For the analysis of count data, many statistical software packages now offer zero-inflated Poisson and zero-inflated negative binomial regression models. Pareto chart and cause-and- effect chart. Multivariate control randomForest – A machine learning package that perform classification and regression based on a forest of trees using random inputs, through supervised or unsupervised learning. Http://www.youtube.com/watch?v=xcabluZgN-8 This video shows the last 2% of the votes counted has a different trend that the 98% of the votes. He used regression analysis on the the errors of the datasets. Qcc - Is a library for statistical quality control, such as Shewhart quality control charts for continuous, attribute and count data. Neither could I find any applications of the distribution itself to economic data. So prima facie, there's no there there. You might need a more sophisticated test that matches the .. Lowess curve: degree one polynomial, tri-cube weight function, bandwidth=0.05. Regression analysis - in it's generality is powerful. Surprisingly, I could find no examples, in any area of application, where covariates had been introduced into the model - in the way that we do with our standard count data regressions. Operating characteristic curves. Poisson, negative binomial, and other regression models for event-count data.