the collection of statistical methods that require assumptions about the population is known as parametric statistics.
the collection of statistical methods that require assumptions about the population is known as parametric statistics.
the collection of statistical methods that require assumptions about the population is known as?
parametric statistics
parametric statistics









































parametric statistics is a branch of statistics which assumes that sample data comes from a population that can be adequately modelled by a probability distribution that has a fixed set of parameters. conversely a non-parametric model differs precisely in that the parameter set (or feature set in machine learning) is not fixed and can increase, or even decrease, if new relevant information is collected.









































most well-known statistical methods are parametric. regarding nonparametric (and semiparametric) models, sir david cox has said, "these typically involve fewer assumptions of structure and distributional form but usually contain strong assumptions about independencies".









































section::::example.
parametric statistics
bullet::::- the march 1951 issue of the "journal of the american statistical association" contains articles celebrating the 25th anniversary of the publication of the first edition.









































bullet::::- a.w.f. edwards (2005) "r. a. fisher, statistical methods for research workers, 1925," in i. grattan-guinness (ed) "landmark writings in western mathematics: case studies, 1640-1940," amsterdam: elsevier.









































section::::further reading.:reviews.









































bullet::::- nature review of fisher’s statistical methods









































bullet::::- bmj review of fisher’s statistical methods









































bullet::::- student’s review of fisher’s statistical methods









































bullet::::- egon pearson’s reviews of fisher’s statistical methods









































bullet::::- harold hotelling’s review of fishers’ statistical methods









































bullet::::- leon isserlis’s review of fishers’ statistical methods
statistical methods for research workers