query: instance_of identifiability
supports: Debt, AIDS, Trade, Africa (DATA) was a multinational non-government organization founded in January 2002 in London by U2's Bono along with Bobby Shriver and activists from the Jubilee 2000 Drop the Debt campaign. An experiment is a procedure carried out to support, refute, or validate a hypothesis. Experiments provide insight into cause-and-effect by demonstrating what outcome occurs when a particular factor is manipulated. Experiments vary greatly in goal and scale, but always rely on repeatable procedure and logical analysis of the results. There also exists natural experimental studies. For a less technical treatment , see Parameter identification problem . In statistics , identifiability is a property which a model must satisfy in order for precise inference to be possible . We say that the model is identifiable if it is theoretically possible to learn the true value of this model 's underlying parameter after obtaining an infinite number of observations from it . Mathematically , this is equivalent to saying that different values of the parameter must generate different probability distributions of the observable variables . Usually the model is identifiable only under certain technical restrictions , in which case the set of these requirements is called the identification conditions . A model that fails to be identifiable is said to be non-identifiable or unidentifiable ; two or more parametrizations are observationally equivalent . In some cases , even though a model is non-identifiable , it is still possible to learn the true values of a certain subset of the model parameters . In this case we say that the model is partially identifiable . In other cases it may be possible to learn the location of the true parameter up to a certain finite region of the parameter space , in which case the model is set identifiable . Aside from strictly theoretical exploration of the model properties , Identifiability can be referred to in a wider scope when a model is tested with relation of experimental data sets . Usually these tests of Identifiability Analysis are applied when the model fitting of experimental data obtained and serve the detection of non-identifiable and sloppy parameters . In statistics, a population is a set of similar items or events which is of interest for some question or experiment. A statistical population can be a group of actually existing objects (e.g. the set of all stars within the Milky Way galaxy) or a hypothetical and potentially infinite group of objects conceived as a generalization from experience (e.g. the set of all possible hands in a game of poker). A common aim of statistical analysis is to produce information about some chosen population. A statistic (singular) or sample statistic is a single measure of some attribute of a sample (e.g., its arithmetic mean value). It is calculated by applying a function (statistical algorithm) to the values of the items of the sample, which are known together as a set of data. A statistical model is a class of mathematical model, which embodies a set of assumptions concerning the generation of some sample data, and similar data from a larger population. A statistical model represents, often in considerably idealized form, the data-generating process. Analysis is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384322 B.C.), though "analysis" as a formal concept is a relatively recent development. Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Populations can be diverse topics such as "all people living in a country" or "every atom composing a crystal". Statistics deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments.
candidates: attribute class collection concept data collection experiment function goal government group of objects hypothesis information jubilee logic mathematical model model order people planning population presentation problem procedure process set statistic statistical model statistics trade value
answer: concept