Number of the records: 1  

lineární modely

  1. SYSd016014
    LBL
      
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    003
      
    CZ-PrNML
    005
      
    20240206162307.5
    008
      
    890525-n-ancnnbaba----------||-ana-----d
    035
      
    $a (DNLM)D016014
    040
      
    $a ABA008 $b cze $f czmesh
    072
      
    $a E05. $x 318. $x 740. $x 500. $x 500
    072
      
    $a E05. $x 318. $x 740. $x 750. $x 425
    072
      
    $a E05. $x 599. $x 835. $x 750
    072
      
    $a N05. $x 715. $x 360. $x 750. $x 530. $x 460
    072
      
    $a N05. $x 715. $x 360. $x 750. $x 695. $x 460
    072
      
    $a N06. $x 850. $x 520. $x 830. $x 500. $x 500
    072
      
    $a N06. $x 850. $x 520. $x 830. $x 750. $x 425
    150
      
    $a lineární modely $2 czmesh
    450
      
    $w i $a Linear Regression $i UF
    450
      
    $w i $a lineární regrese $i UF
    450
      
    $w i $a Log-Linear Models $i UF
    450
      
    $w i $a loglineární modely $i UF
    450
      
    $w i $a Models, Linear $i UF
    550
      
    $w g $a regresní analýza $7 upol_us_auth*d012044
    550
      
    $w g $a statistické modely $7 upol_us_auth*d015233
    667
      
    $a usually NIM
    680
      
    $i Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression.
    688
      
    $a 90; LINEAR REGRESSION was see REGRESSION ANALYSIS 1990-93
    750
    -2
    $a Linear Models $2 czmesh
    980
      
    $x M
    982
      
    $a 1
Number of the records: 1  

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