Field Experimentation With Fruit Trees and Other Perennial Plants
The rise of statistics; The purpose of field trials; The idea of significance; The range of field trials; Characteristics of perennial plants; The place of statistics; Some simple designs; Complete randomization and the option of blocking; Randomized blocks; Latin square; The changing of treatments in a latin aquares; Factorial designs; Some more complicated designs; Non-orthogonal designs in general; Balanced incomplete blocks and other totally balanced designs; Some other kinds of balance; Calibration; The idea of calibration; Blocks, plots and replications; Trial design in relation to the subject of investigation; The analysis of results; Some mishaps and remedies; The measurement of perennial plants.
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The rise of statistics
The purpose of field trials
The idea of significance
69 other sections not shown
analysis of variance apples applied arise balanced incomplete blocks better block design blossom calculation calibration canonical analysis coefficient comparison confounded considered contrasts cover crops crop degrees of freedom depends difficulty equal error variance estimate example expected experiment experimental area F-test fact factors Figure four fruit further give given Graeco-Latin square groups growth guard rows headland herbicide important independent variate interaction investigation Latin squares levels main effect matrix measure method metres missing plots non-orthogonal designs number of plots number of treatments obtained orthogonal partition Pearce perennial plants plants pollination possible problem pruning pseudo-variate quantity randomized blocks reason records replication represent residuals rootstocks rows and columns sampling Section set of treatments Similarly soil sometimes sources of variation species spray squared deviations standard error statistical sum of squared transformation treatment means trees trunk circumference usually values variability varieties vector weight zero