Algorithms for calculating variance play a major role in computational statistics. A key difficulty in the design of good algorithms for this problem is that formulas for the variance may involve sums of squares, which can lead to numerical instability as well as to arithmetic overflow when dealing with large values.
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Algorithmsforcalculatingvariance play a major role in computational statistics. A key difficulty in the design of good algorithmsfor this problem is...
Mathematics portal 68–95–99.7 rule Accuracy and precision Algorithmsforcalculatingvariance Chebyshev's inequality An inequality on location and scale...
simulations Glauber dynamics: a method for simulating the Ising Model on a computer Algorithmsforcalculatingvariance: avoiding instability and numerical...
using SIMD processor instructions, and parallel multi-core. Algorithmsforcalculatingvariance, which includes stable summation Strictly, there exist other...
equation are similar in magnitude. For other numerically stable alternatives, see Algorithmsforcalculatingvariance. If the generator of random variable...
The Yamartino method is an algorithmforcalculating an approximation of the circular variance of wind direction during a single pass through the incoming...
Algebraic statistics Algorithmic inference Algorithmsforcalculatingvariance All models are wrong All-pairs testing Allan variance Alignments of random...
numerical algorithms. The precise definition of stability depends on the context. One is numerical linear algebra and the other is algorithmsfor solving...
minimum-variance mean (for large normal samples), which is to say the variance of the median will be ~50% greater than the variance of the mean. For any real-valued...
HyperLogLog is an algorithmfor the count-distinct problem, approximating the number of distinct elements in a multiset. Calculating the exact cardinality...
means and variances, dividing two variances and comparing the ratio to a handbook value to determine statistical significance. Calculating a treatment...
The Allan variance (AVAR), also known as two-sample variance, is a measure of frequency stability in clocks, oscillators and amplifiers. It is named after...
be very large. It is generally beneficial to minimize the variance of codeword length. For example, a communication buffer receiving Huffman-encoded data...
demosaicing algorithm at work animation Interpolation of RGB components in Bayer CFA images, by Eric Dubois Color Demosaicing Using Variance of Color Differences...
naive Monte Carlo works for simple examples, an improvement over deterministic algorithms can only be accomplished with algorithms that use problem-specific...
analysis to reduce feature dimensionality in data preprocessing. Algorithmsforcalculating covariance Analysis of covariance Autocovariance Covariance function...
typically involve the use of a computer-based algorithmfor computing eigenvectors and eigenvalues. These algorithms are readily available as sub-components...
9}}+\cdots \right)} forcalculating Φ(x) with arbitrary precision. The drawback of this algorithm is comparatively slow calculation time (for example it takes...
problems. Algorithms that operate on high-dimensional data tend to have a very high time complexity. Many machine learning algorithms, for example, struggle...
In computer science, streaming algorithms are algorithmsfor processing data streams in which the input is presented as a sequence of items and can be...
Various algorithms exist for constructing such Markov chains, including the Metropolis–Hastings algorithm. MCMC methods are primarily used forcalculating numerical...
In analysis, numerical integration comprises a broad family of algorithmsforcalculating the numerical value of a definite integral. The term numerical...
effect of single alleles. Additive variance represents, therefore, the genetic component of variance responsible for parent-offspring resemblance. The...
In statistics, an estimator is a rule forcalculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity...
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