Analysis of Variance & Design of Experiments
Analysis of Variance & Design of Experiments by Arun Kumar
English | 2021 | ISBN: N/A | ASIN: B08ZLKKHP1 | 199 pages | PDF | 3.97 Mb
English | 2021 | ISBN: N/A | ASIN: B08ZLKKHP1 | 199 pages | PDF | 3.97 Mb
Analysis of Variance. One way classification. Assumptions regarding model. Two way
classification with equal number of observations per cell. Duncan's multiple
comparison test. Analysis of covariance.
Uni t- 2
Principles of Design of experiments: Randomization, Replication and local control.
Choice of size and type of a plot using uniformity trials. CRD, Randomized block
design. Concept and definition of efficiency of design. Comparison of efficiency
between CRD and RBD.
Uni t- 3
Latin square Design, Lay-out, ANOVA table. Comparison of efficiencies between
LSD and RBD; LSD and CRD. Missing plot technique: estimation of missing plots
by minimizing error sum of squares in RBD and LSD with one or two missing
observations.
Uni t- 4
Factorial Experiments: general description of factorial experiments; 22, 23 and 2n
factorial experiments arranged in RBD and LSD. Definition of main effects and
interactions in 22 and 23 factorial experiments. Preparation of ANOVA by Yates
procedure. Estimates and tests for main and interaction effects (Analysis without
confounding).
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