Spatial design and analysis are widely used, particularly in field experimentation. However, it is often the case that spatial analysis does not significantly enhance more traditional approaches such as row–column analysis. It is then of interest to gauge the degree of error variance bias that accrues when a spatially designed experiment is analysed as a row–column design. This paper uses uniformity data to study error variance bias in 7×127×12 spatial designs for 21 treatments
In many areas of research, such as within medical statistics, biology and geostatistics, problems ar...
Several misconceptions about the design-based approach for sampling and statistical inference, based...
Site-specific data is spatially variable, precluding traditional econometric analysis. Some field-s...
Summary: Experimental designs can be constructed to be efficient in the presence of spatial correlat...
Controlling spatial variation in agricultural field trials is the most important step to compare tre...
In the presence of spatial heterogeneity in experimental fields, the traditional random blocking has...
Resolvable row–column designs are widely used in field trials to control variation and improve the p...
Environmental heterogeneity, an important influence on organisms and ecological processes, can be qu...
The construction of experimental designs has undergone considerable change in the last 25 years due ...
Soil heterogeneity is generally the major cause of variation in plot yield data and the difficulty o...
In field trials including large numbers of varieties, it is often impossible or impractical to repli...
An undesirable property of systematic spatial sampling is that there is no known method allowing unb...
Spatial autocorrelation of biological process has been shown to reduce experimental precision in fie...
Las variables analizadas en los estudios ecológicos de campo muestran con frecuencia estructuras es...
The term ‘representation bias’ is used to describe the disparities that exist between treatment effe...
In many areas of research, such as within medical statistics, biology and geostatistics, problems ar...
Several misconceptions about the design-based approach for sampling and statistical inference, based...
Site-specific data is spatially variable, precluding traditional econometric analysis. Some field-s...
Summary: Experimental designs can be constructed to be efficient in the presence of spatial correlat...
Controlling spatial variation in agricultural field trials is the most important step to compare tre...
In the presence of spatial heterogeneity in experimental fields, the traditional random blocking has...
Resolvable row–column designs are widely used in field trials to control variation and improve the p...
Environmental heterogeneity, an important influence on organisms and ecological processes, can be qu...
The construction of experimental designs has undergone considerable change in the last 25 years due ...
Soil heterogeneity is generally the major cause of variation in plot yield data and the difficulty o...
In field trials including large numbers of varieties, it is often impossible or impractical to repli...
An undesirable property of systematic spatial sampling is that there is no known method allowing unb...
Spatial autocorrelation of biological process has been shown to reduce experimental precision in fie...
Las variables analizadas en los estudios ecológicos de campo muestran con frecuencia estructuras es...
The term ‘representation bias’ is used to describe the disparities that exist between treatment effe...
In many areas of research, such as within medical statistics, biology and geostatistics, problems ar...
Several misconceptions about the design-based approach for sampling and statistical inference, based...
Site-specific data is spatially variable, precluding traditional econometric analysis. Some field-s...