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A Guide to Anova and Design in GenStat ®th(15 Edition)by Roger Payne.GenStat is developed by VSN International Ltd, in collaboration with practising statisticians atRothamsted and other organisations in Britain, Australia, New Zealand and The Netherlands.Published by:E-mail:Website:VSN International, 5 The Waterhouse, Waterhouse Street,Hemel Hempstead, Hertfordshire HP1 1ES, UKinfo@genstat.co.ukhttp://www.genstat.co.uk/thFirst published 2007, for GenStat for Windows 10 EditionthThis edition published 2012, for GenStat for Windows 15 EditionGenStat is a registered trade of VSN International. All rights reserved.© 2012 VSN International
Page 1: Anova and Design
Page 5 and 6: IntroductionAnalysis of variance is
Page 7 and 8: 1.1 Comparing two treatments: the t
Page 13 and 14: standard 23 2219 2120 1718 20new 24
Page 15 and 16: 1.3 One-way analysis of variance 11
Page 17 and 18: 1.3 One-way analysis of variance 13
Page 19 and 20: 1.5 One-way analysis of variance wi
Page 21 and 22: 1.6 Polynomial contrasts 17linear a
Page 23 and 24: 1.8 Multiple comparisons1.8 Multipl
Page 25 and 26: 1.10 Completely randomized designs
Page 27 and 28: 2.1 Completely randomized designs2.
Page 29 and 30: The advantage of the blocking canbe
Page 31 and 32: 2.2 Randomized block designs 27squa
Page 33 and 34: 2.4 Blocking in two directions: Lat
Page 35 and 36: 2.5 Practical 312.5 PracticalSpread
Page 37 and 38: 3.1 Factorial designs with two trea
Page 39 and 40: 3.1 Factorial designs with two trea
Page 41 and 42: As we have already seen, inSection
Page 43 and 44: 3.2 Fitting contrasts 39S 0 10 20 4
Page 45 and 46: Equations of the polynomials for N.
Page 47 and 48: 3.3 Practical 433.3 PracticalSpread
Page 49 and 50: according to the level of B, and so
Page 51 and 52: 3.5 Factorial plus added control 47
Page 53 and 54:
3.6 Covariates 49To do an analysis
Page 55 and 56:
Standard errors of differences of m
Page 57 and 58:
4.1 Homogeneity of variance4.1 Homo
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4.3 Additivity of the model 55The p
Page 61 and 62:
4.5 Transformations 57Figure 4.6 Fi
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s.e.d. 0.03414.5 Transformations 59
Page 65 and 66:
4.5 Transformations 61variance) wil
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4.6 Practical 634.7 PracticalAn exp
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5 Designs with several error termsT
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5.1 Split-plot design 67consider th
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5.3 Other stratified designs 69Leg
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5.3 Other stratified designs 71Nitr
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6 Design and sample sizeIn this cha
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The Generate a Standard DesignOptio
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6.1 Designing an experiment 77The G
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6.3 Control treatments 79we have as
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7 Balance and non-orthogonalityIn t
Page 87 and 88:
7.1 Confounding and efficiency fact
Page 89 and 90:
7.1 Confounding and efficiency fact
Page 91 and 92:
7.2 Balance 87K O KN D O D O DO 2.8
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7.4 Unbalanced designs with two tre
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Maximum standard error of differenc
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7.6 Unbalanced designs with several
Page 99 and 100:
7.6 Unbalanced designs with several
Page 101 and 102:
7.7 Practical 97Minimum standard er
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8.1 Linear mixed models: split-plot
Page 105 and 106:
Page 107 and 108:
Page 109 and 110:
Figure 8.4 shows a GenStatspreadshe
Page 111 and 112:
8.3 Linear mixed models: a non-orth
Page 113 and 114:
8.3 Linear mixed models: a non-orth
Page 115 and 116:
8.4 Practical 111variety 1 2 3 4 5
Page 117 and 118:
8.6 Practical 113Analysis of varian
Page 119 and 120:
9 Commands for analysis of variance
Page 121 and 122:
Page 123 and 124:
Page 125 and 126:
Index 121Interaction 34, 35between
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