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  2. Observed information - Wikipedia

    en.wikipedia.org/wiki/Observed_information

    In statistics, the observed information, or observed Fisher information, is the negative of the second derivative (the Hessian matrix) of the "log-likelihood" (the logarithm of the likelihood function). It is a sample-based version of the Fisher information.

  3. Fisher information - Wikipedia

    en.wikipedia.org/wiki/Fisher_information

    In mathematical statistics, the Fisher information is a way of measuring the amount of information that an observable random variable X carries about an unknown parameter θ of a distribution that models X. Formally, it is the variance of the score, or the expected value of the observed information.

  4. Statistical inference - Wikipedia

    en.wikipedia.org/wiki/Statistical_inference

    Likelihood-based inference is a paradigm used to estimate the parameters of a statistical model based on observed data. Likelihoodism approaches statistics by using the likelihood function , denoted as L ( x | θ ) {\displaystyle L(x|\theta )} , quantifies the probability of observing the given data x {\displaystyle x} , assuming a specific set ...

  5. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    The former is based on deducing answers to specific situations from a general theory of probability, meanwhile statistics induces statements about a population based on a data set. Statistics serves to bridge the gap between probability and applied mathematical fields.

  6. Likelihoodist statistics - Wikipedia

    en.wikipedia.org/wiki/Likelihoodist_statistics

    Bayesian statistics: Bayesian statistics is an alternative approach to statistical inference that incorporates prior information and updates it using observed data to obtain posterior probabilities. Likelihoodism and Bayesian statistics are compatible in the sense that both methods utilize the likelihood function.

  7. Latent and observable variables - Wikipedia

    en.wikipedia.org/wiki/Latent_and_observable...

    Latent variables, as created by factor analytic methods, generally represent "shared" variance, or the degree to which variables "move" together. Variables that have no correlation cannot result in a latent construct based on the common factor model. [5] The "Big Five personality traits" have been inferred using factor analysis. extraversion [6]

  8. 270 Reasons Women Choose Not To Have Children - The ...

    data.huffingtonpost.com/2015/07/choosing...

    The number of childfree women is at a record high: 48 percent of women between the ages of 18 and 44 don’t have kids, according to 2014 Census numbers. The Huffington Post and YouGov asked 124 women why they choose to be childfree.

  9. Informant (statistics) - Wikipedia

    en.wikipedia.org/wiki/Informant_(statistics)

    Information theory – Scientific study of digital information; Score test – Statistical test based on the gradient of the likelihood function; Scoring algorithm – form of Newton's method used in statistics; Standard score – How many standard deviations apart from the mean an observed datum is