{"product_id":"split-plot-and-split-block-654-wiley-series-in-probability-and-statistics-9780470081495","title":"Split Plot and Split Block 654 Wiley Series in Probability and Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book provides a comprehensive treatment of the design of split-plot and blocked experiments, two types of experiments that are extremely popular in practice.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003ci\u003e\"Variations on Split Plot and Split Block Experiment Designs\u003c\/i\u003e reminds me of the classics of design literature, because it contains a plethora of examples of different situations. This structure lets the reader either find exactly what is needed, or something close to it, to build a suitable design. The examples are geared toward the agricultural statistician... As an industrial statistician, I am gratified to see the publication of this book.\" (\u003ci\u003eTechnometrics\u003c\/i\u003e, May 2010)\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. The standard split plot experiment design 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1. Introduction 1\u003c\/p\u003e \u003cp\u003e1.2. Statistical design 3\u003c\/p\u003e \u003cp\u003e1.3. Examples of split-plot-designed experiments 6\u003c\/p\u003e \u003cp\u003e1.4. Analysis of variance 9\u003c\/p\u003e \u003cp\u003e1.5. F-tests 12\u003c\/p\u003e \u003cp\u003e1.6. Standard errors for means and differences between means 14\u003c\/p\u003e \u003cp\u003e1.7. Numerical examples 16\u003c\/p\u003e \u003cp\u003e1.8. Multiple comparisons of means 23\u003c\/p\u003e \u003cp\u003e1.9. One replicate of a split plot experiment design and missing observations 26\u003c\/p\u003e \u003cp\u003e1.10. Nature of experimental variation 28\u003c\/p\u003e \u003cp\u003e1.11. Repeated measures experiments 29\u003c\/p\u003e \u003cp\u003e1.12. Precision of contrasts 29\u003c\/p\u003e \u003cp\u003e1.13. Problems 31\u003c\/p\u003e \u003cp\u003e1.14. References 32\u003c\/p\u003e \u003cp\u003eAppendix 1.1. Example 1.1 code 34\u003c\/p\u003e \u003cp\u003eAppendix 1.2. Example 1.2 code 36\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Standard split block experiment design 39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1. Introduction 39\u003c\/p\u003e \u003cp\u003e2.2. Examples 41\u003c\/p\u003e \u003cp\u003e2.3. Analysis of variance 43\u003c\/p\u003e \u003cp\u003e2.4. F-tests 44\u003c\/p\u003e \u003cp\u003e2.5. Standard errors for contrasts of effects 45\u003c\/p\u003e \u003cp\u003e2.6. Numerical examples 46\u003c\/p\u003e \u003cp\u003e2.7. Multiple comparisons 52\u003c\/p\u003e \u003cp\u003e2.8. One replicate of a split block design 53\u003c\/p\u003e \u003cp\u003e2.9. Precision 53\u003c\/p\u003e \u003cp\u003e2.10. Comments 54\u003c\/p\u003e \u003cp\u003e2.11. Problems 55\u003c\/p\u003e \u003cp\u003e2.12. References 55\u003c\/p\u003e \u003cp\u003eAppendix 2.1. Example 2.1 code 56\u003c\/p\u003e \u003cp\u003eAppendix 2.2. Example 2.2 code 56\u003c\/p\u003e \u003cp\u003eAppendix 2.3. Problems 2.1 and 2.2 data 60\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. Variations of the split plot experiment design 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1. Introduction 61\u003c\/p\u003e \u003cp\u003e3.2. Split split plot experiment design 62\u003c\/p\u003e \u003cp\u003e3.3. Split split split plot experiment design 67\u003c\/p\u003e \u003cp\u003e3.4. Whole plots not in a factorial arrangement 73\u003c\/p\u003e \u003cp\u003e3.5. Split plot treatments in an incomplete block experiment design within each whole plot 74\u003c\/p\u003e \u003cp\u003e3.6. Split plot treatments in a row-column arrangement within each whole plot treatment and in different\u003cbr\u003ewhole plot treatments 75\u003c\/p\u003e \u003cp\u003e3.7. Whole plots in a systematic arrangement 76\u003c\/p\u003e \u003cp\u003e3.8. Split plots in a systematic arrangement 77\u003c\/p\u003e \u003cp\u003e3.9. Characters or responses as split plot treatments 77\u003c\/p\u003e \u003cp\u003e3.10. Observational or experimental error? 79\u003c\/p\u003e \u003cp\u003e3.11. Time as a discrete factor rather than as a continuous factor 80\u003c\/p\u003e \u003cp\u003e3.12. Inappropriate model? 86\u003c\/p\u003e \u003cp\u003e3.13. Complete confounding of some effects and split plot experiment designs 90\u003c\/p\u003e \u003cp\u003e3.14. Comments 91\u003c\/p\u003e \u003cp\u003e3.15. Problems 91\u003c\/p\u003e \u003cp\u003e3.16. References 93\u003c\/p\u003e \u003cp\u003eAppendix 3.1. Table 3.1 code and data 94\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Variations of the split block experiment design 97\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1. Introduction 97\u003c\/p\u003e \u003cp\u003e4.2. One set of treatments in a randomized complete block and the other in a Latin square experiment design 98\u003c\/p\u003e \u003cp\u003e4.3. Both sets of treatments in split block arrangements 100\u003c\/p\u003e \u003cp\u003e4.4. Split block split block or strip strip block experiment design 100\u003c\/p\u003e \u003cp\u003e4.5. One set of treatments in an incomplete block design and the second set in a randomized complete block design 106\u003c\/p\u003e \u003cp\u003e4.6. An experiment design split blocked across the entire experiment 107\u003c\/p\u003e \u003cp\u003e4.7. Confounding in a factorial treatment design and in a split block experiment design 108\u003c\/p\u003e \u003cp\u003e4.8. Split block experiment design with a control 111\u003c\/p\u003e \u003cp\u003e4.9. Comments 114\u003c\/p\u003e \u003cp\u003e4.10. Problems 114\u003c\/p\u003e \u003cp\u003e4.11. References 115\u003c\/p\u003e \u003cp\u003eAppendix 4.1. Example 4.1 code 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. Combinations of SPEDs and SBEDs 120\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1. Introduction 120\u003c\/p\u003e \u003cp\u003e5.2. Factors A and B in a split block experiment design and factor C in a split plot arrangement to factors A and B 120\u003c\/p\u003e \u003cp\u003e5.3. Factor A treatments are the whole plot treatments and factors B and C treatments are in a split block arrangement within each whole plot 125\u003c\/p\u003e \u003cp\u003e5.4. Factors A and B in a standard split plot experiment design and factor C in a split block arrangement over both\u003cbr\u003efactors A and B 127\u003c\/p\u003e \u003cp\u003e5.5. A complexly designed experiment 130\u003c\/p\u003e \u003cp\u003e5.6. Some rules to follow for finding an analysis for complexly designed experiments 135\u003c\/p\u003e \u003cp\u003e5.7. Comments 138\u003c\/p\u003e \u003cp\u003e5.8. Problems 139\u003c\/p\u003e \u003cp\u003e5.9. References 139\u003c\/p\u003e \u003cp\u003eAppendix 5.1. Example 5.1 code 139\u003c\/p\u003e \u003cp\u003eAppendix 5.2. Example 5.2 data set, code, and output 144\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. World records for the largest analysis of variance table (259 lines) and for the most error terms (62) in one analysis of variance 147\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1. Introduction 147\u003c\/p\u003e \u003cp\u003e6.2. Description of the experiment 148\u003c\/p\u003e \u003cp\u003e6.3. Preliminary analyses for the experiment 152\u003c\/p\u003e \u003cp\u003e6.4. A combined analysis of variance partitioning of the degrees of freedom 157\u003c\/p\u003e \u003cp\u003e6.5. Some comments 163\u003c\/p\u003e \u003cp\u003e6.6. Problems 163\u003c\/p\u003e \u003cp\u003e6.7. References 163\u003c\/p\u003e \u003cp\u003eAppendix 6.1. Figure 6.1 to Figure 6.6 164\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7. Augmented split plot experiment design 169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1. Introduction 169\u003c\/p\u003e \u003cp\u003e7.2. Augmented genotypes as the whole plots 170\u003c\/p\u003e \u003cp\u003e7.3. Augmented genotypes as the split plots 174\u003c\/p\u003e \u003cp\u003e7.4. Augmented split split plot experiment design 176\u003c\/p\u003e \u003cp\u003e7.5. Discussion 180\u003c\/p\u003e \u003cp\u003e7.6. Problems 180\u003c\/p\u003e \u003cp\u003e7.7. References 181\u003c\/p\u003e \u003cp\u003eAppendix 7.1. SAS code for ASPED, genotypes as whole plots, Example 7.1 182\u003c\/p\u003e \u003cp\u003eAppendix 7.2. SAS code for ASPEDT, genotypes as split plots, Example 7.2 185\u003c\/p\u003e \u003cp\u003eAppendix 7.3. SAS code for ASSPED, Example 7.3 186\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8. Augmented split block experiment design 188\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1. Introduction 188\u003c\/p\u003e \u003cp\u003e8.2. Augmented split block experiment designs 188\u003c\/p\u003e \u003cp\u003e8.3. Augmented split blocks for intercropping experiments 193\u003c\/p\u003e \u003cp\u003e8.4. Numerical example 8.1 194\u003c\/p\u003e \u003cp\u003e8.5. Comments 197\u003c\/p\u003e \u003cp\u003e8.6. Problems 197\u003c\/p\u003e \u003cp\u003e8.7. References 198\u003c\/p\u003e \u003cp\u003eAppendix 8.1. Codes for numerical Example 8.1 198\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9. Missing observations in split plot and split block experiment designs 202\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1. Introduction 202\u003c\/p\u003e \u003cp\u003e9.2. Missing observations in a split plot experiment design 203\u003c\/p\u003e \u003cp\u003e9.3. Missing observations in a split block experiment design 204\u003c\/p\u003e \u003cp\u003e9.4. Comments 204\u003c\/p\u003e \u003cp\u003e9.5 Problems 204\u003c\/p\u003e \u003cp\u003e9.6. References 206\u003c\/p\u003e \u003cp\u003eAppendix 9.1. SAS code for numerical example in Section 9.2 206\u003c\/p\u003e \u003cp\u003eAppendix 9.2. SAS code for numerical example in Section 9.3 209\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10. Combining split plot or split block designed experiments over sites 213\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1. Introduction 213\u003c\/p\u003e \u003cp\u003e10.2. Combining split plot designed experiments over sites 213\u003c\/p\u003e \u003cp\u003e10.3. Combining split block designed experiments over sites 217\u003c\/p\u003e \u003cp\u003e10.4. Discussion 219\u003c\/p\u003e \u003cp\u003e10.5. Problems 219\u003c\/p\u003e \u003cp\u003e10.6. References 219\u003c\/p\u003e \u003cp\u003eAppendix 10.1. Example 10.1 219\u003c\/p\u003e \u003cp\u003eAppendix 10.2. Example 10.2 229\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11. Covariance analyses for split plot and split block experiment designs 239\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1. Introduction 239\u003c\/p\u003e \u003cp\u003e11.2. Covariance analysis for a standard split plot design 240\u003c\/p\u003e \u003cp\u003e11.3. Covariance analysis for a split block experiment design 250\u003c\/p\u003e \u003cp\u003e11.4. Covariance analysis for a split split plot experiment design 255\u003c\/p\u003e \u003cp\u003e11.5. Covariance analysis for variations of designs 259\u003c\/p\u003e \u003cp\u003e11.6. Discussion 260\u003c\/p\u003e \u003cp\u003e11.7. Problems 260\u003c\/p\u003e \u003cp\u003e11.8. References 262\u003c\/p\u003e \u003cp\u003eAppendix 11.1. SAS code for Example 11.1 263\u003c\/p\u003e \u003cp\u003eAppendix 11.2. SAS code for Example 11.2 264\u003c\/p\u003e \u003cp\u003eAppendix 11.3. SAS code for Example 11.3 265\u003c\/p\u003e \u003cp\u003eIndex\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":53515414077783,"sku":"9780470081495","price":124.15,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/split-plot-and-split-block-654-wiley-series-in-probability-and-statistics-9780470081495","provider":"Book Curl","version":"1.0","type":"link"}