sample data
1Sample size determination — is the act of choosing the number of observations to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample …
2Data dredging — (data fishing, data snooping) is the inappropriate (sometimes deliberately so) use of data mining to uncover misleading relationships in data. Data snooping bias is a form of statistical bias that arises from this misuse of statistics. Any… …
3Data envelopment analysis — (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers[clarification needed]. It is used to empirically measure productive efficiency of decision making units (or DMUs). Non parametric… …
4Data-centric programming language — defines a category of programming languages where the primary function is the management and manipulation of data. A data centric programming language includes built in processing primitives for accessing data stored in sets, tables, lists, and… …
5Sample rate conversion — is the process of converting a (usually digital) signal from one sampling rate to another, while changing the information carried by the signal as little as possible. When applied to an image, this process is sometimes called image scaling.Sample …
6Data collection — is a term used to describe a process of preparing and collecting data, for example, as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record, to make decisions about important… …
7Data warehouse — Overview In computing, a data warehouse (DW) is a database used for reporting and analysis. The data stored in the warehouse is uploaded from the operational systems. The data may pass through an operational data store for additional operations… …
8Data logger — Cube storing technical and sensor data A data logger (also datalogger or data recorder) is an electronic device that records data over time or in relation to location either with a built in instrument or sensor or via external instruments and… …
9Data Distribution Service — for Real time Systems (DDS) is a specification of a publish/subscribe middleware for distributed systems created in response to the need to standardize a data centric publish subscribe programming model for distributed systems. A few proprietary… …
10Data distribution service — for real time systems (DDS) is a specification of a publish/subscribe middleware for distributed systems created by the Object Management Group (OMG) in response to the need to standardize a data centric publish subscribe programming model for… …
