Estimation of Parameters in Complete Randomized Design lecture - 04

 

Estimation of Parameters

in

Complete Randomized Design

Consider the linear statistical model of CR design:

Yij = μ + τj + ϵij         i=1, 2, ..., r

                                         j=1, 2, ..., t   

Where:

μ is the true mean effect, τj represents the effects of jth treatment and ϵij denoted random error. Yij is the yield of j^th treatment in the i^th experimental unit.

Further;

ϵij  ~ NIID (0, σ2)

that,s 

E ( ϵij ) = 0 and Var ( ϵij ) = σ2

Let

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