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110 packages found
Compute a moving variance-to-mean ratio (VMR) incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- sample
- sample variance
- unbiased
- dispersion
- index of dispersion
- fano factor
- fano
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Compute an arithmetic mean and unbiased sample variance incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- variance
- sample variance
- unbiased
- var
- View more
Compute the unbiased sample variance over all iterated values.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- sample variance
- unbiased
- var
- dispersion
- standard deviation
- stdev
- iterator
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Return an integer corresponding to the unbiased exponent of a single-precision floating-point number.
- stdlib
- stdtypes
- base
- utilities
- utility
- utils
- util
- types
- type
- exponent
- unbiased
- bits
- floating-point
- float32
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Shuffle the words in a string and optionally the letters in each word using the Fisher-Yates algorithm. Useful for creating test fixtures, benchmarking samples, etc.
- algorithm
- benchmarking
- combinatorics
- efficient
- equally
- finite
- fisher
- fixtures
- knuth
- letters
- permutation
- random
- randomly
- randomize
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The Fisher-Yates (aka Knuth) shuffle for Browser and Node.js
Returns an integer corresponding to the unbiased exponent of a double-precision floating-point number.
- compute.io
- compute-io
- compute
- computation
- math.io
- math-io
- math
- mathematics
- exponent
- unbiased
- bits
- floating-point
- float64
- float
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Returns an integer corresponding to the unbiased exponent of a single-precision floating-point number.
- compute.io
- compute-io
- compute
- computation
- math.io
- math-io
- math
- mathematics
- exponent
- unbiased
- bits
- floating-point
- float32
- float
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Generate an array of random number ranges. Useful for creating test fixtures or benchmarking samples.
- algorithm
- benchmarking
- combinatorics
- efficient
- equally
- finite
- fisher
- fixtures
- knuth
- letters
- permutation
- random
- randomly
- replacement
- View more
JavaScript stats library containing parallel distributed streaming algorithms to compute important frequently used statistics on big data. The library calculates commonly used univariate, multivariate and discrete statistics. It can be used alone in a webpage, or server-side in nodejs (or both since mss's can be merged), or within a big-data no-sql engines such as hadoop, mongodb.
- stats
- statistics
- analytics
- univariate
- multivariate
- discrete
- mean
- variance
- standard deviation
- unbiased
- constant time
- constant space
- fixed space
- efficient
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