Ready data availability, cheap storage capacity, and powerful tools for extracting information
from data have the potential to significantly enhance the human condition. However, as with …

" The level is appropriate for an upper-level undergraduate or graduate-level statistics major.
Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to …

In the era of big data, standard analysis tools may be inadequate for making inference and
there is a growing need for more efficient and innovative ways to collect, process, analyze …

The Internet of Things (IoT) introduces a new challenge for Database Management Systems
(DBMS). In IoT, large numbers of sensors are used in daily lives. These sensors generate a …

Linked administrative data offer a rich source of information that can be harnessed to
describe patterns of disease, understand their causes and evaluate interventions. However …

This paper develops the notion of “open data product”. We define an open data product as
the open result of the processes through which a variety of data (open and not) are turned …

The statistical challenges in using big data for making valid statistical inference in the finite
population have been well documented in literature. These challenges are due primarily to …

Databases covering all individuals of a population are increasingly used for research and
decision-making. The massive size of such databases is often mistaken as a guarantee for …

The book equips students with the end-to-end skills needed to do data science. That means
gathering, cleaning, preparing, and sharing data, then using statistical models to analyse …

In this article we describe how data usage statistics could be designed to reward the
contributions of both researchers and government agencies, functionally creating a carrot …