at the least (or very least) - définition. Qu'est-ce que at the least (or very least)
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Qu'est-ce (qui) est at the least (or very least) - définition

2000 COMPILATION ALBUM BY THE POSIES
At Least, At Last

at the least (or very least)      
at the least (or very least)
1. not less than; at the minimum.
2. taking the most pessimistic or unfavourable view.
Least squares         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares
The method of least squares is a standard approach in regression analysis to approximate the solution of overdetermined systems (sets of equations in which there are more equations than unknowns) by minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each individual equation.
least squares         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares
¦ noun a method of estimating a quantity or fitting a graph to data so as to minimize the sum of the squares of the differences between the observed values and the estimated values.

Wikipédia

At Least, at Last

At Least, at Last is an album from the band The Posies, released in 2003.

At Least, at Last is a box set containing a "history" of The Posies b-sides, demos, and outtakes from 1987–1998 on four discs. Published by Not Lame records, this box set was produced to satisfy fans after the reported "demise" of the band in 2000. Although the band has since reformed with the release of an E.P. and three new full-length studio albums, the box set has been a "holy grail" in most Posies fans collections. This set is currently out of print and The Posies have no intention to re-publish it.

Some highlights on the boxed set include a cover of Blondies' song, "Dreaming", and a song recorded for the television program, Bill Nye the Science Guy, entitled "Oceanic Exploration" to the tune of their original song "Flavor Of The Month". Also included in the set are liner notes for each song written by both founding members.