- Page 1 and 2: ASRemlUser GuideRelease 2.0A R Gilm
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- Page 5 and 6: PrefaceiiASReml is one of several u
- Page 7 and 8: ContentsPrefaceiList of TablesxviiL
- Page 9 and 10: Contentsvi3.3 The ASReml data file
- Page 11 and 12: ContentsviiiCombining rows from sep
- Page 13 and 14: Contentsx7.6 Variance structure qua
- Page 15 and 16: Contentsxii12.2 The command line .
- Page 17 and 18: Contentsxiv15 Examples 24115.1 Intr
- Page 19: List of Tablesxvi7.3 Details of the
- Page 23 and 24: 1 IntroductionWhat ASReml can doIns
- Page 25 and 26: 1 Introduction 31.3 User InterfaceN
- Page 27 and 28: 1 Introduction 5There is a User Are
- Page 29 and 30: 2 Some theory 72.1 The linear mixed
- Page 31 and 32: 2 Some theory 9Variance structures
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- Page 35 and 36: 2 Some theory 13Letting κ = (γ,
- Page 37 and 38: 2 Some theory 152.3 What are BLUPs?
- Page 39 and 40: 2 Some theory 172.5 Inference: Rand
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- Page 47 and 48: 2 Some theory 25We defineU c = D c
- Page 49 and 50: 3 A guided tour 273.1 IntroductionT
- Page 51 and 52: Table 3.1: Trial layout and allocat
- Page 53 and 54: 3 A guided tour 31Below is the ASRe
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- Page 59 and 60: 3 A guided tour 37parameterestimate
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- Page 63 and 64: 4 Data file preparationIntroduction
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6 Command file: Specifying the term
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6 Command file: Specifying the term
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6 Command file: Specifying the term
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6 Command file: Specifying the term
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6 Command file: Specifying the term
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7 Command file: Specifyingvariance
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7 Command file: Specifying variance
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7 Command file: Specifying variance
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7 Command file: Specifying variance
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7 Command file: Specifying variance
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7 Command file: Specifying variance
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7 Command file: Specifying variance
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8 Command file: Multivariateanalysi
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8 Command file: Multivariate analys
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8 Command file: Multivariate analys
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8 Command file: Multivariate analys
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9 Command file: Genetic analysis 14
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9 Command file: Genetic analysis 15
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9 Command file: Genetic analysis 15
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9 Command file: Genetic analysis 15
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10 Tabulation of the data and predi
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10 Tabulation of the data and predi
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10 Tabulation of the data and predi
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10 Tabulation of the data and predi
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10 Tabulation of the data and predi
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10 Tabulation of the data and predi
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10 Tabulation of the data and predi
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11 Functions of variance components
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11 Functions of variance components
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11 Functions of variance components
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12 Command file: Running the job 17
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12 Command file: Running the job 17
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12 Command file: Running the job 18
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12 Command file: Running the job 18
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12 Command file: Running the job 18
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13 Description of output files 1891
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13 Description of output files 191-
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13 Description of output files 1932
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13 Description of output files 195T
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13 Description of output files 197T
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13 Description of output files 199I
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13 Description of output files 201-
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13 Description of output files 203S
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13 Description of output files 205T
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13 Description of output files 207S
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13 Description of output files 2091
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13 Description of output files 211T
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14 Error messages 21314.1 Introduct
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14 Error messages 215• there is a
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14 Error messages 217Residual AR=Au
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14 Error messages 219Licensed to: A
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14 Error messages 221below. Note th
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14 Error messages 2236. Misspelt fa
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14 Error messages 2252 1 0 5 0 1 01
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14 Error messages 227Using 242 reco
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14 Error messages 229Table 14.2: Li
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14 Error messages 231List of warnin
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14 Error messages 233Alphabetical l
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14 Error messages 235Alphabetical l
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14 Error messages 237Alphabetical l
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14 Error messages 239Alphabetical l
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15 ExamplesIntroductionSplit plot d
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15 Examples 243structure that is su
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15 Examples 245Tables of predicted
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15 Examples 247on male and female p
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15 Examples 249We also note the com
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15 Examples 251LogL= 203.007 S2= 0.
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15 Examples 25315.5 Balanced repeat
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15 Examples 255The two forms for Σ
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15 Examples 257which models Σ byΣ
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15 Examples 2591 tmt 1 4.149 Tr.tmt
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15 Examples 26115.6 Spatial analysi
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15 Examples 263variety 25yieldbarle
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15 Examples 2656 LogL=-696.823 S2=
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15 Examples 267Table 15.7 Summary o
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15 Examples 269Analysis of Variance
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15 Examples 2713 LogL=-4245.27 S2=
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15 Examples 273of this time rice pl
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15 Examples 275namely sqrt(rootwt)
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15 Examples 277Given the large diff
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15 Examples 279Table 15.9 Equivalen
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15 Examples 281The predicted variet
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15 Examples 283An alternative defin
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15 Examples 285this is the orange d
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15 Examples 287160140oo120oocircumf
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15 Examples 289Table 15.12 Sequence
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15 Examples 291200 600 1000 14005 M
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15 Examples 293The data are taken f
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15 Examples 295var (u d ) = Σ d
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15 Examples 2973.74 0.97 0.019 0.94
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15 Examples 299Covariance/Variance/
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15 Examples 30155 phenWYG 9 15.76 0
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15 Examples 3035.33 13.18 .66 .10.7
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15 Examples 305at(Trait,1).sex.grp
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Bibliography 307Cullis, B. R., Glee
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Bibliography 309Keen, A. (1994). Pr
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Bibliography 311Verbyla, A. P., Cul
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Index 313model, 10covariance model,
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Index 315formulae, 83random regress
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Index 317!LOGFILE, 180!LOGIT , 98!L
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Index 319sqrt(v,r), 87, 95uni(f,k),