Household-Specific Regressions Using Clickstream Data
نویسندگان
چکیده
منابع مشابه
Household-Specific Regressions Using Clickstream Data
This paper makes three contributions: (1) the paper provides a better understanding of online behavior by showing the main drivers of Internet portal choice, (2) the rich data allow for a deeper understanding of brand substitution patterns than previously possible and (3) the paper introduces a wider statistics community to a new data opportunity and a recently developed method.
متن کاملAnalyzing Website Choice Using Clickstream Data
This paper estimates demand for Internet portals using a clickstream data panel of 2654 users. It shows that familiar econometric methodologies used to study grocery store scanner data can be applied to analyze advertising-supported Internet markets using clickstream data. In particular, it applies the methodology of Guadagni and Little (1983) to better understand households’ Internet portal ch...
متن کاملUsing Clickstream Data to Predict WWW Usage
The purpose of this study is to consider the determinants of World Wide Web (WWW) usage using clickstream data. Clickstream data is a natural byproduct of a user accessing WWW pages, and refers to the sequence of pages visited and the time these pages were viewed. A key component of this study is a large scale empirical analysis of clickstream data from a representative sample of PC owning hous...
متن کاملAlgorithms for clustering clickstream data
Clustering is a classic problem in the machine learning and pattern recognition area, however a few complications arise when we try to transfer proposed solutions in the data stream model. Recently there have been proposed new algorithms for the basic clustering problem for massive data sets that produce an approximate solution using efficiently the memory, which is the most critical resource f...
متن کاملVisualizing count data regressions using rootograms
We show how the rootogram – a graphical tool associated with the work of J. W. Tukey and originally used for assessing goodness of fit of univariate distributions – can help to diagnose and treat issues such as overdispersion and/or excess zeros in regression models for count data. Two empirical illustrations, from ethology and from public health, are included. The former employs a negative bin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistical Science
سال: 2006
ISSN: 0883-4237
DOI: 10.1214/088342306000000150