math.statistics vocabulary
Factor handbook > Vocabulary index


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Authors:Doug Coleman, Michael Judge


Words

Ordinary words
WordStack effect
binary-entropy( p -- h )
collect-by( ... seq quot: ( ... obj -- ... key ) -- ... hashtable )
collect-index-by( ... seq quot: ( ... obj -- ... key ) -- ... hashtable )
contraharmonic-mean( seq -- x )
corr-ddof( x-seq y-seq n -- corr )
count-relative( seq k -- lt eq gt )
cov-ddof( x-seq y-seq ddof -- cov )
cum-count( seq quot -- seq' )
cum-max( seq -- seq' )
cum-mean( seq -- seq' )
cum-min( seq -- seq' )
cum-product( seq -- seq' )
cum-product1( seq -- seq' )
cum-sum( seq -- seq' )
cum-sum0( seq -- seq' )
demean( seq -- seq' )
demedian( seq -- seq' )
differences( u -- v )
entropy( probabilities -- n )
equal-probabilities( n -- array )
frac( x -- x' )
geometric-mean( seq -- x )
harmonic-mean( seq -- x )
histogram( seq -- hashtable )
histogram!( hashtable seq -- hashtable )
histogram-by( seq quot: ( x -- bin ) -- hashtable )
kth-largest( seq k -- elt )
kth-largests( seq kths -- elts )
kth-object( seq k quot: ( x y -- ? ) -- elt )
kth-objects( seq kths quot: ( x y -- ? ) -- elts )
kth-smallest( seq k -- elt )
kth-smallests( seq kths -- elts )
least-squares( xy-pairs -- alpha beta )
lower-median( seq -- elt )
lower-median-index( seq -- n )
maximum-entropy( probabilities -- n )
mean( seq -- x )
mean-ddof( seq ddof -- x )
mean-dev( seq -- x )
median( seq -- x )
median-dev( seq -- x )
medians( seq -- lower upper )
minmax( seq -- min max )
minmax-relative( seq k -- lt eq gt lt-max gt-min )
mode( seq -- x )
normalized-entropy( probabilities -- n )
normalized-histogram( seq -- alist )
pearson-r( xy-pairs -- r )
population-corr( x-seq y-seq -- corr )
population-cov( x-seq y-seq -- cov )
population-std( seq -- x )
population-ste( seq -- x )
population-var( seq -- x )
power-mean( seq p -- x )
qabcd( y-floor y-ceiling x c d -- qabcd )
quadratic-mean( seq -- x )
quantile-abcd( seq qs a b c d -- quantile )
quantile-indices( seq qs a b -- seq )
quantile-x( a b N q -- x )
quantile1( seq qs -- seq' )
quantile3( seq qs -- seq' )
quantile4( seq qs -- seq' )
quantile5( seq qs -- seq' )
quantile6( seq qs -- seq' )
quantile7( seq qs -- seq' )
quantile8( seq qs -- seq' )
quantile9( seq qs -- seq' )
quartile( seq -- seq' )
range( seq -- x )
rank-values( seq -- seq' )
rankings( histogram -- assoc )
rescale( u -- v )
sample-corr( x-seq y-seq -- corr )
sample-cov( x-seq y-seq -- cov )
sample-std( seq -- x )
sample-ste( seq -- x )
sample-var( seq -- x )
sequence-index>assoc( seq map-quot insert-quot exemplar -- assoc )
sequence-index>hashtable( seq map-quot insert-quot -- hashtable )
sequence>assoc( seq map-quot insert-quot exemplar -- assoc )
sequence>assoc!( assoc seq map-quot: ( x -- ..y ) insert-quot: ( ..y assoc -- ) -- assoc )
sequence>hashtable( seq map-quot insert-quot -- hashtable )
signal-to-noise( seq -- x )
sorted-histogram( seq -- alist )
standardize( u -- v )
standardize-2d( u -- v )
std( seq -- x )
std-ddof( seq n -- x )
ste-ddof( seq n -- x )
sum-of-absolute-errors( seq -- x )
sum-of-squared-errors( seq -- x )
sum-of-squares( seq -- x )
trimean( seq -- x )
trimmed-mean( seq p -- x )
unbiased-mean( seq -- x )
upper-median( seq -- elt )
var-ddof( seq n -- x )
winsorized-mean( seq p -- x )
z-score( seq -- n )


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math.statistics.privatemath.statistics.private vocabulary