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Aredo, E., (2021). Análisis estadístico para un Diseño de Bloques Incompletos Balanceado [Tesis, Universidad Nacional de Trujillo]. https://hdl.handle.net/20.500.14414/16390
Aredo, E., Análisis estadístico para un Diseño de Bloques Incompletos Balanceado [Tesis]. PE: Universidad Nacional de Trujillo; 2021. https://hdl.handle.net/20.500.14414/16390
@misc{renati/881102,
title = "Análisis estadístico para un Diseño de Bloques Incompletos Balanceado",
author = "Aredo García, Enrique Manuel",
publisher = "Universidad Nacional de Trujillo",
year = "2021"
}
Título: Análisis estadístico para un Diseño de Bloques Incompletos Balanceado
Autor(es): Aredo García, Enrique Manuel
Asesor(es): Díaz Araujo, Wilson Guillermo
Palabras clave: Análisis de experimentos; bloques incompletos; Balanceados
Campo OCDE: https://purl.org/pe-repo/ocde/ford#1.01.03
Fecha de publicación: 2021
Institución: Universidad Nacional de Trujillo
Resumen: Es importante comenzar por definir qué son los diseños de bloques incompletos. Éstos se caracterizan porque no todos los tratamientos ocurren en cada bloque, ya que en algunos experimentos que usan diseños de bloques, no pueden realizarse en cada bloque todos los tratamientos; cuando el número de veces que aparecen dos tratamientos dentro de cada bloque es el mismo, a este diseño se le conoce como Diseño en Bloques Incompletos Balanceados (DBIB), es decir, las comparaciones entre todos los tratamientos tienen la misma importancia, éstas deben elegirse de manera que ocurran en forma balanceada dentro de cada bloque. Esto significa que cualquier par de tratamientos ocurren juntos el mismo número de veces que cualquier otro par. Por lo tanto, un diseño balanceado por bloques incompletos es un diseño en el que cualquier par de tratamientos ocurren juntos el mismo número de veces. El propósito del presente estudio es investigar el diseño experimental de BIB y su aplicación en el peso de la Producción del algodón. Se aplicó este diseño de bloque incompleto balanceado porque en el bloque sólo se determinó dos parcelas y el experimento comprende tres tratamientos. Se pretende con el DBIB disminuir la variabilidad de las parcelas dentro de cada bloque
Abstract It is important to start by defining what incomplete block designs are. They are characterized because not all treatments occur in each block. Since in some experiments using block designs, not all treatments can be performed in each block; When the number of times that two treatments appear within each block is the same, this design is known as Design in Balanced Incomplete Blocks (DBIB), that is, comparisons between all treatments are equally important, they must be chosen so that they occur in a balanced way within each block. This means that any pair of treatments occur together the same number of times as any other pair. Therefore, an incomplete block balanced design is a design in which any pair of treatments occur together the same number of times. The purpose of this study is to investigate the experimental design of BIB and its application in the weight of Asparagus Production. This incomplete balanced block design was applied because in the block only two plots were determined and the experiment comprises three treatments. The DBIB is intended to reduce the variability of the plots within each block
Abstract It is important to start by defining what incomplete block designs are. They are characterized because not all treatments occur in each block. Since in some experiments using block designs, not all treatments can be performed in each block; When the number of times that two treatments appear within each block is the same, this design is known as Design in Balanced Incomplete Blocks (DBIB), that is, comparisons between all treatments are equally important, they must be chosen so that they occur in a balanced way within each block. This means that any pair of treatments occur together the same number of times as any other pair. Therefore, an incomplete block balanced design is a design in which any pair of treatments occur together the same number of times. The purpose of this study is to investigate the experimental design of BIB and its application in the weight of Asparagus Production. This incomplete balanced block design was applied because in the block only two plots were determined and the experiment comprises three treatments. The DBIB is intended to reduce the variability of the plots within each block
Enlace al repositorio: https://hdl.handle.net/20.500.14414/16390
Disciplina académico-profesional: Estadística
Institución que otorga el grado o título: Universidad Nacional de Trujillo.Facultad de Ciencias Físicas y Matemáticas
Grado o título: Ingeniero Estadístico
Jurado: Chu Campos, Rosa Adriana
Chafloque Viteri, Sergio Albert
Díaz Araujo, Wilson Guillermo
Fecha de registro: 3
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