Search results
Results from the WOW.Com Content Network
In statistics, Fisher's method, [1] [2] also known as Fisher's combined probability test, is a technique for data fusion or "meta-analysis" (analysis of analyses). It was developed by and named for Ronald Fisher. In its basic form, it is used to combine the results from several independence tests bearing upon the same overall hypothesis (H 0).
Using statistical theory, statisticians compress the information-matrix using real-valued summary statistics; being real-valued functions, these "information criteria" can be maximized. Traditionally, statisticians have evaluated estimators and designs by considering some summary statistic of the covariance matrix (of an unbiased estimator ...
Fisher's famous 1921 paper alone has been described as "arguably the most influential article" on mathematical statistics in the twentieth century, and equivalent to "Darwin on evolutionary biology, Gauss on number theory, Kolmogorov on probability, and Adam Smith on economics", [24] and is credited with completely revolutionizing statistics. [25]
Fisher's theory of fiduciary inference is flawed Paradoxes are common; A purely probabilistic theory of tests requires an alternative hypothesis. Fisher's attacks on Type II errors have faded with time. In the intervening years, statistics have separated the exploratory from the confirmatory.
In probability theory and statistics, the F-distribution or F-ratio, also known as Snedecor's F distribution or the Fisher–Snedecor distribution (after Ronald Fisher and George W. Snedecor), is a continuous probability distribution that arises frequently as the null distribution of a test statistic, most notably in the analysis of variance (ANOVA) and other F-tests.
In statistics, Fisher consistency, named after Ronald Fisher, is a desirable property of an estimator asserting that if the estimator were calculated using the entire population rather than a sample, the true value of the estimated parameter would be obtained.
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
Its formal use to refer to a specific function in mathematical statistics was proposed by Ronald Fisher, [43] in two research papers published in 1921 [44] and 1922. [45] The 1921 paper introduced what is today called a "likelihood interval"; the 1922 paper introduced the term " method of maximum likelihood ".