bibdAOV 1.0

This file computes a balanced incomplete block design [BIBD] analysis of variance. A BIBD is a set X of v >= 2 elements called treatments and a collection of b > 0 subsets of X, called blocks, such that the following conditions are satisfied: - each block consists of exactly k treatments, v > k > 0 - each treatment appears in exactly r blocks, r > 0 - each pair of treatments appear simultaneously in exactly l (lambda) blocks, l > 0.A BIBD must satisfy [constraits]: v*r = b*k = eu = Total number of experimental units for whole experiment r*[k-1] = l*[v-1])The Linear Model is: x_ij = dlTA + a_i + b_j + e_ij i = 1,...,v (treatments); j = 1,...,a (blocks); e_ij ~ N[0,var_e]It needs to input the data matrix (size of matrix must be n-by-3: data=column 1, treatment=column 2, block=column 3), and significance level (default = 0.05).The output is a detailed balanced incomplete block esign analysis of variance table.

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Experiment,  Experimental,  Linear,  Model,  Number,  Total,  Units,  Var
Users rating:	0/10