- Page 1: SAS/STAT ® 9.2 User’s Guide The
- Page 5 and 6: Basic Features ✦ 3887 clustered i
- Page 7 and 8: variance components compound symmet
- Page 9 and 10: Clustered Data Example ✦ 3891 The
- Page 11 and 12: Clustered Data Example ✦ 3893 mat
- Page 13 and 14: criterion of 1E 8. Figure 56.11 REM
- Page 15 and 16: Syntax: MIXED Procedure ✦ 3897 Th
- Page 17 and 18: Table 56.2 continued Option Descrip
- Page 19 and 20: If H k is singular, then PROC MIXED
- Page 21 and 22: MMEQ PROC MIXED Statement ✦ 3903
- Page 23 and 24: PLOTS < (global-plot-options ) > <
- Page 25 and 26: Residual Plot Options PROC MIXED St
- Page 27 and 28: RATIO Multiple Plot Request PROC MI
- Page 29 and 30: CONTRAST Statement ✦ 3911 TRUNCAT
- Page 31 and 32: CONTRAST Statement ✦ 3913 differe
- Page 33 and 34: ESTIMATE Statement ✦ 3915 ALPHA=n
- Page 35 and 36: Table 56.5 Summary of Important LSM
- Page 37 and 38: LSMEANS Statement ✦ 3919 The numb
- Page 39 and 40: E LSMEANS Statement ✦ 3921 are di
- Page 41 and 42: Table 56.6 continued Option Descrip
- Page 43 and 44: Table 56.7 Aliases for DDFM= Option
- Page 45 and 46: E E1 E2 E3 FULLX MODEL Statement
- Page 47 and 48: MODEL Statement ✦ 3929 The modifi
- Page 49 and 50: SIZE=n MODEL Statement ✦ 3931 ins
- Page 51 and 52: Table 56.10 continued Suboption Sta
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MODEL Statement ✦ 3935 where Vm i
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PARMS Statement PARMS (value-list)
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OLS PRIOR Statement ✦ 3939 approp
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PRIOR Statement ✦ 3941 JEFFREYS s
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RANDOM Statement ✦ 3943 TDATA= en
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RANDOM Statement ✦ 3945 GCORR dis
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RANDOM Statement ✦ 3947 available
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Table 56.12 continued Option Descri
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proc mixed; class a; model y = a x;
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REPEATED Statement ✦ 3953 TYPE=co
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Table 56.15 Covariance Structure Ex
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REPEATED Statement ✦ 3957 TYPE=AR
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TYPE=SP(EXPGA)(c1 c2) TYPE=SP(GAUGA
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TYPE=UN@AR(1) TYPE=UN@CS REPEATED S
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Mixed Models Theory ✦ 3963 where
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proc mixed; class indiv; model y =
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2 6 Z D 6 4 2 6 G D 6 4 1 1 1 1 1 1
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Mixed Models Theory ✦ 3969 In man
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Mixed Models Theory ✦ 3971 Finall
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Mixed Models Theory ✦ 3973 When L
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Parameterization of Mixed Models
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Interaction Effects Parameterizatio
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Table 56.20 Example of Continuous-b
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as ei ei p D pvi VarŒei and studen
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Residuals and Influence Diagnostics
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Residuals and Influence Diagnostics
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Residuals and Influence Diagnostics
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Default Output Default Output ✦ 3
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Default Output ✦ 3991 batch proce
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ODS Table Names ✦ 3993 You can us
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Table 56.22 continued ODS Table Nam
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Table 56.23 continued Table Name Va
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ODS Graphics ✦ 3999 The graphical
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ODS Graphics ✦ 4001 precision is
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Table 56.24 continued ODS Graph Nam
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Computational Issues ✦ 4005 For f
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Memory Computational Issues ✦ 400
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The following statements fit the sp
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Output 56.1.6 Split-Plot Analysis (
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proc mixed; class A B Block; model
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Example 56.2: Repeated Measures ✦
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Output 56.2.6 Repeated Measures Ana
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Output 56.2.9 Repeated Measures Ana
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Output 56.2.11 continued Dimensions
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Output 56.2.17 Analysis with Compou
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Example 56.2: Repeated Measures ✦
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The results from this analysis are
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Output 56.3.6 Estimated Covariance
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Output 56.3.10 Solutions of the Mix
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Output 56.3.14 Plot of Likelihood S
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Example 56.4: Known G and R ✦ 403
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Example 56.4: Known G and R ✦ 403
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Output 56.4.9 Solutions of the Mixe
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Example 56.5: Random Coefficients E
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Output 56.5.3 continued Number of O
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Output 56.5.9 Random Coefficients A
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Example 56.5: Random Coefficients
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Example 56.6: Line-Source Sprinkler
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Output 56.6.3 Model Dimensions and
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Example 56.6: Line-Source Sprinkler
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Example 56.7: Influence in Heteroge
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Example 56.7: Influence in Heteroge
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Output 56.7.5 Covariance Parameter
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Output 56.7.7 Restricted Likelihood
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Output 56.7.9 Covariance Parameter
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Example 56.8: Influence Analysis fo
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Output 56.8.2 Restricted Likelihood
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Example 56.8: Influence Analysis fo
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Example 56.8: Influence Analysis fo
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Output 56.8.8 Distribution of Condi
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Output 56.9.2 Type 3 Tests in Split
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Output 56.9.5 Parameter Estimates i
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References ✦ 4079 Carroll, R. J.
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References ✦ 4081 Hanks, R.J., Si
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References ✦ 4083 Littell, R. C.,
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References ✦ 4085 Smith, A. F. M.
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Subject Index 2D geometric anisotro
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graphics, residual panel, 3998 grap
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maximum likelihood estimation mixed
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parameterization, 3975 Pearson resi
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subject effect MIXED procedure, 391
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INFLUENCE option, MODEL statement (
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OUTG= option, 3942 OUTGT= option, 3
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INFLUENCE option, MODEL statement (
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