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A first-degree relative (FDR) is a person's parent (father or mother), sibling (brother or sister) or child (son or daughter). [1] It constitutes a category of family members that largely overlaps with the term nuclear family, but without spouses. [2] If the persons are related by blood, the first degree relatives share approximately 50% of ...
In statistics, the number of degrees of freedom is the number of values in the final calculation of a statistic that are free to vary. [1] Estimates of statistical parameters can be based upon different amounts of information or data. The number of independent pieces of information that go into the estimate of a parameter is called the degrees ...
One legal definition of degrees of consanguinity. [1] The number next to each box in the table indicates the degree of relationship relative to the given person. Consanguinity (from Latin consanguinitas 'blood relationship') is the characteristic of having a kinship with a relative who is descended from a common ancestor.
The relative efficiency of two unbiased estimators is defined as [12] (,) = [()] [()] = ()Although is in general a function of , in many cases the dependence drops out; if this is so, being greater than one would indicate that is preferable, regardless of the true value of .
In statistics, the uncertainty coefficient, also called proficiency, entropy coefficient or Theil's U, is a measure of nominal association. It was first introduced by Henri Theil [citation needed] and is based on the concept of information entropy.
A PDF file is organized using ASCII characters, except for certain elements that may have binary content. The file starts with a header containing a magic number (as a readable string) and the version of the format, for example %PDF-1.7. The format is a subset of a COS ("Carousel" Object Structure) format. [24]
Suppose that we have an indexed family of distributions. If the index is also a parameter of the members of the family, then the family is a parameterized family.Among parameterized families of distributions are the normal distributions, the Poisson distributions, the binomial distributions, and the exponential family of distributions.
In statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables, or two probability distributions or samples, or the distance can be between an individual sample point and a population or a wider sample of points.