Information: - 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. - A system is a set of interacting or interdependent component parts forming a complex or intricate whole. Every system is delineated by its spatial and temporal boundaries, surrounded and influenced by its environment, described by its structure and purpose and expressed in its functioning. - 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. - 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 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. - 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. - A parameter (from the Ancient Greek , "para": "beside", "subsidiary"; and , "metron": "measure"), generally, is any characteristic that can help in defining or classifying a particular system (meaning an event, project, object, situation, etc.). That is, a parameter is an element of a system that is useful, or critical, when identifying the system, or when evaluating its performance, status, condition, etc. - 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. - 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. - In mathematics, mean has several different definitions depending on the context. - In statistics , a parametric model or parametric family or finite - dimensional model is a family of distributions that can be described using a finite number of parameters . These parameters are usually collected together to form a single k - dimensional parameter vector = ( 1 , 2 , ... , k ) . Parametric models are contrasted with the semi-parametric , semi-nonparametric , and non-parametric models , all of which consist of an infinite set of '' parameters '' for description . The distinction between these four classes is as follows : in a '' parametric '' model all the parameters are in finite - dimensional parameter spaces ; a model is '' non-parametric '' if all the parameters are in infinite - dimensional parameter spaces ; a '' semi-parametric '' model contains finite - dimensional parameters of interest and infinite - dimensional nuisance parameters ; a '' semi-nonparametric '' model has both finite - dimensional and infinite - dimensional unknown parameters of interest . Some statisticians believe that the concepts '' parametric '' , '' non-parametric '' , and '' semi-parametric '' are ambiguous . It can also be noted that the set of all probability measures has cardinality of continuum , and therefore it is possible to parametrize any model at all by a single number in ( 0,1 ) interval . This difficulty can be avoided by considering only '' smooth '' parametric models . What is the relationship between 'parametric model' and 'statistical model'?
The answer to this question is:
subclass of