Results 11 to 20 of about 30,884 (295)
Central limit theorem: the cornerstone of modern statistics [PDF]
According to the central limit theorem, the means of a random sample of size, n, from a population with mean, µ, and variance, σ2, distribute normally with mean, µ, and variance, σ2n.
Sang Gyu Kwak, Jong Hae Kim
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Accuracy and Precision Improvement of Temperature Measurement Using Statistical Analysis/Central Limit Theorem [PDF]
This paper describes a method for increasing the accuracy and precision of temperature measurements of a liquid based on the central limit theorem. A thermometer immersed in a liquid exhibits a response with determined accuracy and precision.
Francisco Antônio Belo +4 more
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Conditions of the Central-Limit Theorem Are Rarely Satisfied in Empirical Psychological Studies [PDF]
Tadamasa Sawada
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Quantum entropy and central limit theorem. [PDF]
We introduce a framework to study discrete-variable (DV) quantum systems based on qudits. It relies on notions of a mean state (MS), a minimal stabilizer-projection state (MSPS), and a new convolution. Some interesting consequences are: The MS is the closest MSPS to a given state with respect to the relative entropy; the MS is extremal with respect to ...
Bu K, Gu W, Jaffe A.
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Comprehending the Central Limit Theorem
Simulation will be used to illustrate the Central Limit Theorem and the concept of testing a ...
Kerley, Lyndell M.
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The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a sufficiently large number of independent and identically distributed random variables approximately follows a normal distribution.
Arthur Charpentier
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Central Limit Theorem in View of Subspace Convex-Cyclic Operators [PDF]
In our work we have defined an operator called subspace convex-cyclic operator. The property of this newly defined operator relates eigenvalues which have eigenvectors of modulus one with kernels of the operator.
H.M. Hasan +3 more
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A Central Limit Theorem for Predictive Distributions
Let S be a Borel subset of a Polish space and F the set of bounded Borel functions f:S→R. Let an(·)=P(Xn+1∈·∣X1,…,Xn) be the n-th predictive distribution corresponding to a sequence (Xn) of S-valued random variables.
Patrizia Berti +2 more
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Central limit theorem in the symmetric group
In this work we investigate a rate of convergence of sums of random variables defined on a symetric group Sn, when the probability measure on Sn is defined by the Ewens sampling formula with parameter θ. Using the results obtained by E.
Vytas Zacharovas
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A Central Limit Theorem for Vincular Permutation Patterns [PDF]
We study the number of occurrences of any fixed vincular permutation pattern. We show that this statistics on uniform random permutations is asymptotically normal and describe the speed of convergence.
Lisa Hofer
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