Sentence examples for data mechanisms from inspiring English sources

There are two types of missing data mechanisms that can be considered ignorable.

Interesting researches related to integration techniques have taken place, they are primary based on the adoption of sharing data mechanisms.

This paper begins with a review of the hierarchy of missing data mechanisms and their relationship to likelihood-based methods, a review that is necessary not just for likelihood-based methods, but also for multiple-imputation methods.

We should link the cases of missing values met in Conservation of Cultural Properties with the missing data mechanisms namely: a) Missing Completely at Random (MCAR) b) Missing at Random (MAR) and c) Non-Ignorable (NI) or Missing Not at Random (MNAR).

We discuss three principal missing data mechanisms: network boundary specification (non-inclusion of actors or affiliations), survey non-response, and censoring by vertex degree (fixed choice design), examining their impact on the scientific collaboration network from the Los Alamos E-print Archive as well as random bipartite graphs.

Most of them are based on process algebras enriched with primitives specific of service orientation such as operators for manipulating semi-structured data, mechanisms for describing safe client-service interactions, constructors for composing possibly unreliable services and techniques for services query and discovery.

The missing data mechanism is modeled by nonparametric prior processes.

This delegation mechanism can be construed as a Linked Data mechanism [12].

A more realistic situation is one in which the missing data mechanism is non‐ignorable.

The dataset includes the prehospital data, mechanism of crashes, severity of injury (based on body parts injured), and clinical outcome.

This missing data mechanism is the most difficult to treat as it renders the usual imputation methods meaningless.