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In Chicago Affordable Housing, The Squeeze Is On
Housing called root of neighborhood on affordable housing panel
affordable  housing  chicago  19jam  poverty  low  income  median  homeless  mental  illness  neighborhood
january 2019 by csrollyson
Inside a Lead Time Distribution | Connected Knowledge
Mean,median,mode bell curve graphic and great statistics info in previous/next articles
mean  median  mode  range  statistics  MonHon
november 2018 by gorillaBraun
Mean or Median (or something else) optimal intercept point - Ring, Ring! (DataGenetics)
"Let’s imagine your job is to plan a conference for hundreds of attendees from around country. Your aim is to minimize the total distance that attendees will have to travel to visit your conference. If over half your attendees live in Seattle, it’s possible to show that in order to minimize the total distance, you should host conference directly in Seattle! (which is counterintuitive to a first blush common sense guess, which might have you selecting some common centroid point, which, as we now know, would result in the least-squares solution).

With over half the attendees in one location, you can see how the median must fall in that location, and thus we should host it there!
mean  median  statistics  travel  optimization  RMS  probability
november 2018 by Tonti
EUR-Lex - 32008R0440 - EUR-Lex
Error entre mediana y media en legislación europea
error  median  average
november 2018 by valentina
[1807.03462] A Curious Result on Breaking Ties among Sample Medians
It is well known that any sample median value (not necessarily unique) minimizes the empirical L1 loss. Interestingly, we show that the minimizer of the L1+ϵ loss exhibits a singular phenomenon that provides a unique definition for the sample median as ϵ→0. This definition is the unique point among all candidate median values that balances the logarithmic moment of the empirical distribution. The result generalizes directly to breaking ties among sample quantiles.
median  l1  loss-functions
july 2018 by arsyed
Aggregate Median - PostgreSQL wiki
CREATE OR REPLACE FUNCTION _final_median(NUMERIC[]) RETURNS NUMERIC AS \$\$ SELECT AVG(val) FROM ( SELECT val FROM unnest(\$1) val ORDER BY 1 LIMIT 2 - MOD(array_upper(\$1, 1), 2) OFFSET CEIL(array_upper(\$1, 1) / 2.0) - 1 ) sub; \$\$ LANGUAGE 'sql' IMMUTABLE; CREATE AGGREGATE median(NUMERIC) ( SFUNC=array_append, STYPE=NUMERIC[], FINALFUNC=_final_median, INITCOND='{}' );
postgres  median  code
april 2018 by jonathanjg
About author John Medina | Brain Rules |
DR. JOHN J. MEDINA, a developmental molecular biologist, has a lifelong fascination with how the mind reacts to and organizes information. He is the author of the New York Times bestseller "Brain Rules: 12 Principles for Surviving and Thriving at Work, Home, and School" -- a provocative book that takes on the way our schools and work environments are designed
learning  john  median
april 2018 by gdw

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