Add to ORKGA typical agricultural experiment involves comparisons of several treatments at different points in time. The ensuing lack of independence between observations of the same experimental unit may then impair the attainment of statistical significance by the standard analysis of variance, and calls for the application of more powerful methods. This paper addresses one such method, the so-called two-factor experiment with repeated measures on one factor. We discuss the adequacy of this model in the context of three concrete examples drawn from agricultural experimentation
Many growth experiments, in which weights are taken at different times on the same animals, involve ...
This paper describes the statistical analysis of an agricultural experiment that was conducted in a ...
In crossover experiments, treatments are assigned to experimental units in successive periods. Tradi...
The advantages of repeating experiments in several locations and years are discussed and standard me...
Data with repeated measures occur frequently in agricultural research. This paper is a brief overvie...
Repeated measurements are quite common in biological experimentation. Usually, theresponses are take...
A crossover experiment is a special form of a repeated measures experiment. An appropriate analysis ...
The economic impact of frost upon the Australian grains industry is significant. This has lead to th...
Initial Assumptions, We assume that it is standard practice to base an initial analysis of experimen...
Interim monitoring of accumulating data has been widely used in clinical trials, but it has not rece...
Studies of interrelationships among factors typically focus on factor effects related to the mean re...
Analysis of variance (ANOVA) is based on two main assumptions, i.e., normality and homogeneity of th...
Agronomic experiments often summarize work carried out in trials run in several locations over sever...
This study was conducted to compare performance of univariate and multivariate approaches used for a...
The present paper provides an introductory exposure to different approaches currently available for ...
Many growth experiments, in which weights are taken at different times on the same animals, involve ...
This paper describes the statistical analysis of an agricultural experiment that was conducted in a ...
In crossover experiments, treatments are assigned to experimental units in successive periods. Tradi...
The advantages of repeating experiments in several locations and years are discussed and standard me...
Data with repeated measures occur frequently in agricultural research. This paper is a brief overvie...
Repeated measurements are quite common in biological experimentation. Usually, theresponses are take...
A crossover experiment is a special form of a repeated measures experiment. An appropriate analysis ...
The economic impact of frost upon the Australian grains industry is significant. This has lead to th...
Initial Assumptions, We assume that it is standard practice to base an initial analysis of experimen...
Interim monitoring of accumulating data has been widely used in clinical trials, but it has not rece...
Studies of interrelationships among factors typically focus on factor effects related to the mean re...
Analysis of variance (ANOVA) is based on two main assumptions, i.e., normality and homogeneity of th...
Agronomic experiments often summarize work carried out in trials run in several locations over sever...
This study was conducted to compare performance of univariate and multivariate approaches used for a...
The present paper provides an introductory exposure to different approaches currently available for ...
Many growth experiments, in which weights are taken at different times on the same animals, involve ...
This paper describes the statistical analysis of an agricultural experiment that was conducted in a ...
In crossover experiments, treatments are assigned to experimental units in successive periods. Tradi...