Results 241 to 250 of about 7,479,809 (288)

A Statistical-Physics Refinement of Soft Covering. [PDF]

Entropy (Basel)
Merhav N.
europepmc   +1 more source

Central limit theorems for least squares estimators in linear regression models including lagged variables [PDF]

Genugten, B.B. van der
core  

A hybrid mathematical framework for morphogenesis and regeneration. [PDF]

J Math Biol
Cortés-Poza Y.
europepmc   +1 more source

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Central Limit Theorems revisited

Statistics & Probability Letters, 2000
The authors prove four central limit theorems (CLT). The first CLT is for a triangular array of random elements taking values in a real separable Hilbert space, where the components of the array are row-wise independent and have finite second moments, the covariance operator of the row sum satisfies mild convergence requirements, and the array ...
Majumdar, Suman, Kundu, Subrata, Mukherjee, Kanchan   +2 more
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Central limit theorems of pedigrees

Journal of Mathematical Biology, 1978
Two multivariate central limit theorems are proved for polygenic trait values over a pedigree or collection of pedigrees. These theorems presuppose Hardy-Weinberg and linkage equilibrium for all loci, absence of assortative mating and epistasis, and a small variance for each locus compared to the total variance over many loci.
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Comprehending the central limit theorem

ACM SIGCSE Bulletin, 1988
Simulation will be used to illustrate the Central Limit Theorem and the concept of testing a hypothesis.
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central limit theorems

2008
At the end of the 17th century, the mathematician Abraham de Moivre first used the normal distribution as an approximation for the percentage of successes in a large number of experiments. Later on, Laplace generalized his results, but it took 20th century mathematics to give an exact and complete description of this subject. So let me now describe the
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Conditional Central Limit Theorem

Theory of Probability & Its Applications, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Central Limit Theorem in the Functional Approach

IEEE Transactions on Signal Processing, 2013
The central limit theorem is proved within the framework of the functional approach for signal analysis. In this framework,a signal is modeled as a single function of time rather than a stochastic process. Distribution function, expectation, and all the familiar probabilistic parameters are built starting from this single function of time by resorting ...
Dehay, Dominique, Leskow, Jacek, Napolitano, Antonio   +2 more
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