SUMMARY In this paper we consiaer the problem wnere repeated measurements are taKen on eacn experimental unit of a randomized experimental design. If the design is a randomized complete block then traditionally a split-bloCK analysis is used. Here we consider an extension of tne traaitional sol it-bloCK analysis where \~e allow for several orthogonal autocorrelated error components deoending on...

in order to study the effect of genotype × environment interaction and stability of sugar beet varieties, four cultivars, including shirine, zarghan, laetitia and 7112 hybrid were planted in five major areas near to sugar beet factory of biseton as kangavar, sahneh, chamchamal, dinavar and ravansar for three years (2006-2008) using a randomized complete block designs, with three replications. a...

first of all, in order to determine the high yielding rapeseed varieties, two field experiments were performed in 2006-2008 cropping seasons in agricultural and natural resources research center of markazi province, arak (34º 5´ n; 49º 42´ e, and 1775 m above sea level), iran. in this research, 15 winter rapeseed varieties were compared in a randomized complete block design with three replicati...

While split-plot designs have received considerable attention in the literature over the past decade, there seems to be a general lack of intuitive understanding of the error structure of these designs and the resulting statistical analysis. Typically, students learn the proper error terms for testing factors of a split-plot design via expected mean squares. This does not provide any true insig...

Longitudinal studies involve repeated measurements from the same subjects or blocks over short an extended periods of time. In longitudinal studies, usually most important step is to decide how many experimental units use. There are no closed form equations for determining sample size in complex designs. Monte Carlo simulation method effective tool designs estimate power size. This paper introd...

1. Introduction In conventional setup the analysis of experimental data is based on the assumptions like normality, independence and constant variance of the observations. However, there may arise experimental situations where these assumptions, particularly the assumption of normality, may not be satisfied. In such situations non-parametric test procedures may become quite useful. A lot of att...

A study was conducted to investigate the effect of different planting densities and nitrogen doses on essential oil content and yield in herb and leaves of basil (Ocimum basilicum L.). The research was conducted during 2007 and 2008 using split-plot randomized complete block design with four replications. The experiment consisted of four plant densities (30×20, 40×20 and 50×20 cm) as the main p...