Why Statistics?

Why Do Students Find Statistics So Difficult?

Why Corpus-Based Statistics-Oriented Machine Translation

Rule-based approaches have been the dominant paradigm in developing MT systems. Such approaches, however, suffer from difficulties in knowledge acquisition to meet the wide variety and time-changing characteristics of the real text. To attack this problem, some statistical translation models and supporting tools had been developed in the last few years. However, a simple statistical model often...

Metrics - When and Why Nonaveraging Statistics Work

G metrics are well-defined formulae (often involving averaging) that transmute multiple measures of raw numerical performance (e.g., dollar sales, referrals, number of customers) to create informative summary statistics (e.g., average share of wallet, average customer tenure). Despite myriad uses (benchmarking, monitoring, allocating resources, diagnosing problems, explanatory variables), most ...

The new statistics: why and how.

We need to make substantial changes to how we conduct research. First, in response to heightened concern that our published research literature is incomplete and untrustworthy, we need new requirements to ensure research integrity. These include prespecification of studies whenever possible, avoidance of selection and other inappropriate data-analytic practices, complete reporting, and encourag...

Statistics: why meaningful statistics cannot be generated from a private practice.

We often get asked by prospective patients, physicians, and others interested in our work the general question, “What are your statistics?” or at times, more specifically, “What is your 5-year success rate with breast cancer?” or “What is your 5-year success rate with pancreatic cancer?” Many, including highly trained scientists, think this is a simple question requiring that you only divide th...