Luís Ramos

We use the almost normality approach to derive the models we use. Polynomial almost normality is presented in a first chapter. Thus we show that low degree polynomials on independent normal variables with small variation coefficients are very approximately normal distributed. This result is then used do derive models for series of studies assuming normality and independence for the initial observations and low variation coefficients. We then apply this models first for single series and then for matched series of studies. We will assume that the matched series are associated to the treatments and orthogonal design. The special case of prime basis factorials is considered.