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  2. Completeness (logic) - Wikipedia

    en.wikipedia.org/wiki/Completeness_(logic)

    Semantic completeness is the converse of soundness for formal systems. A formal system is complete with respect to tautologousness or "semantically complete" when all its tautologies are theorems, whereas a formal system is "sound" when all theorems are tautologies (that is, they are semantically valid formulas: formulas that are true under every interpretation of the language of the system ...

  3. Lehmann–Scheffé theorem - Wikipedia

    en.wikipedia.org/wiki/Lehmann–Scheffé_theorem

    In statistics, the Lehmann–Scheffé theorem is a prominent statement, tying together the ideas of completeness, sufficiency, uniqueness, and best unbiased estimation. [1] The theorem states that any estimator that is unbiased for a given unknown quantity and that depends on the data only through a complete , sufficient statistic is the unique ...

  4. Completeness (statistics) - Wikipedia

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

    This example will show that, in a sample X 1, X 2 of size 2 from a normal distribution with known variance, the statistic X 1 + X 2 is complete and sufficient. Suppose X 1, X 2 are independent, identically distributed random variables, normally distributed with expectation θ and variance 1. The sum ((,)) = + is a complete statistic for θ.

  5. Completeness of the real numbers - Wikipedia

    en.wikipedia.org/wiki/Completeness_of_the_real...

    In the decimal number system, completeness is equivalent to the statement that any infinite string of decimal digits is actually a decimal representation for some real number. Depending on the construction of the real numbers used, completeness may take the form of an axiom (the completeness axiom), or may be a theorem proven from the construction.

  6. Completeness (knowledge bases) - Wikipedia

    en.wikipedia.org/wiki/Completeness_(knowledge_bases)

    In data management, completeness is metaknowledge that can be asserted for parts of the KB via completeness assertions. [1] [2] As example, a knowledge base may contain complete information for predicates R and S, while nothing is asserted for predicate T. Then consider the following queries:

  7. Criteria of truth - Wikipedia

    en.wikipedia.org/wiki/Criteria_of_truth

    The rules of logic have no ability to distinguish truth on their own. An individual must determine what standards distinguish truth from falsehood. Not all criteria are equally valid. Some standards are sufficient, while others are questionable. [1] The criteria listed represent those most commonly used by scholars and the general public. [2]

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  9. Original proof of Gödel's completeness theorem - Wikipedia

    en.wikipedia.org/wiki/Original_proof_of_Gödel's...

    Kurt Gödel (1925) The proof of Gödel's completeness theorem given by Kurt Gödel in his doctoral dissertation of 1929 (and a shorter version of the proof, published as an article in 1930, titled "The completeness of the axioms of the functional calculus of logic" (in German)) is not easy to read today; it uses concepts and formalisms that are no longer used and terminology that is often obscure.

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