Setting the benchmark

Setting the Direction for Big Data Benchmark Standards

We provide a summary of the outcomes from the Workshop on Big Data Benchmarking (WBDB2012) held on May 8-9, 2012 in San Jose, CA. The workshop discussed a number of issues related to big data benchmarking definitions and benchmark processes. The workshop was attended by 60 invitees representing 45 different organizations covering industry and academia. Attendees were chosen based on their exper...

Provincial mortality in South Africa, 2000--priority-setting for now and a benchmark for the future.

BACKGROUND Cause-of-death statistics are an essential component of health information. Despite improvements, underregistration and misclassification of causes make it difficult to interpret the official death statistics. OBJECTIVE To estimate consistent cause-specific death rates for the year 2000 and to identify the leading causes of death and premature mortality in the provinces. METHODS ...

Comparison of Human and Camera Visual Acuity—Setting the Benchmark for Shallow Water Autonomous Imaging Platforms

A comparison was made between the underwater visual acuity of human observers and a high-end stills camera as applied to visual surveys of shallow water coral reefs. The human observers had almost double the visual acuity of the camera, recording a Snellen eye test score of 20/8 at 4.3 m depth against 20/15 for the camera. The human observers had a field of view of 7.8 m (horizontal) by 5.8 m a...

WHAT A CAIA MEMBER SHOULD KNOW Setting the Benchmark: Spotlight on Private Equity

RANKING DMUS ON THE BENCHMARK LINE WITH EQUAL SHADOW PRICES

Data envelopment analysis (DEA) with considering the best condition for each decision making unit (DMU) assesses the relative efficiency for it and divides a homogenous group of DMUs in to two categories: efficient and inefficient, but traditional DEA models can not rank efficient DMUs. Although some models were introduced for ranking efficient DMUs, Franklin Lio & Hsuan peng (2008), proposed a...