Our paper Efficient estimation of COM–Poisson regression and a generalized additive model is now available in Computational Statistics & Data Analysis (with Suneel Chatla). This link gives 50 free downloads before Feb 22, 2018.
I'm excited to announce that our book Information Quality - The Potential of Analytics to Generate Knowledge (with Ron Kenett) is finally out just in time for the new year. The book introduces the Information Quality (InfoQ) framework, which is useful for evaluating the potential or usefulness of a dataset for answering a specific question or goal, given the use of data analysis (statistical modeling, data mining, etc.). It is also useful for evaluating studies that use data analysis.
Many studies use quasi-experiments, which are similar to randomized experiments except that subjects are not randomly assigned to the treatment and control groups. The result is what's called "self-selection bias", which requires special analysis correction for valid inference about the treatment effect.
Here's another neat use of the COM-Poisson distribution (a distribution for count data that includes as special cases Poisson, Bernoulli, and geometric distributions): a count data process! Useful for count data that are over- or under-dispersed.
Our co-authored paper Bridging the Gap: A Generalized Stochastic Process For Count Data (with Li Zhu, Kim Sellers and Darcy Morris) is now published in The American Statistician.
[The link provides free access to the first 50 readers]
I am glad to announce that the new editions of Practical Time Series Forecasting with R (Shmueli & Lichtendahl, Second Edition) and Practical Time Series Forecasting (Shmueli, Third Edition) are now available in print and ebook formats. The books are printed in the United States, Europe and India and are vailable globally. Kindle editions are also available worldwide.
My paper (with discussion by 4 sets of authors and a rejoinder) that just came out in Quality Engineering, is aimed at introducing the community of industrial statisticians to the different challenges, opportunities and issues in analyzing "Big Behavioral Data" (BBD).
I'm glad to announce that the third edition of our textbook Data Mining for Business Analytics (with Peter Bruce and Nitin Patel) is now available! We added several cool and useful new topics: ensembles, uplift modeling, collaborative filtering, social network analysis, and text mining. The new edition also includes new examples and cases and XLMiner screenshots updated with the current software version.
During our Chinese New Year Banquet this week, I received an award for publishing in a top journal: The E.SUN Academic Award (see news coverage). This generous award, established by E.SUN bank, is given to faculty at the top four management schools in Taiwan who publish in one of the few top journals in their field. NTHU joined the program in 2015.