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Preliminaries. Some Key assumptions. Designs for the reduction of error. Use of supplementary observations to reduce error. Randomization. Basic ideas about factorial experiments. Design of simple factorial experiments. Choice of number of observations. Choice of units, treatments, and observations. More about latin squares. Incomplete nonfactorial designs. Fractional replication and confounding. Cross-over designs. Some special problems. Discover More...
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Uncover detailed knowledge about Planning Of Experiments by D. R. Cox. Celebrated as a Mathematics cornerstone, this book continues to captivate audiences. We provide structured metadata encompassing author information, publication records, thematic tags, genre categories, and cover art — all curated and stored safely for your benefit.