💥 ¡ENVÍO A LUKA en NOVEDADES TOP hasta las 23:59 de HOY!  Ver más

Enviar a
Santiago, Región Metropolitana
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Selecciona tu país

América

Europa

Resto del mundo

portada Constructing a Composite Vegetable Price Index Using Modified Factor Analysis (en Inglés)
Formato
Libro Físico
Editorial
Idioma
Inglés
N° páginas
44
Encuadernación
Tapa Blanda
ISBN13
9783668982772

Constructing a Composite Vegetable Price Index Using Modified Factor Analysis (en Inglés)

Raphel O Thattil; Rupika Abeynayake; S M C P Siriwardhana (Autor) · Grin Verlag · Tapa Blanda

Constructing a Composite Vegetable Price Index Using Modified Factor Analysis (en Inglés) - Raphel O Thattil; Rupika Abeynayake; S M C P Siriwardhana

Libro Nuevo Importado
Envío: 21 a 25 días háb.
$ 55.860$ 27.930
-50%
Costos de importación incluídos en el precio ✅
Libro Nuevo

Quedan 10 unidades

$ 27.930
Llega entre el 13 Ago y el 19 Ago a Santiago, Región Metropolitana. Seleccionar ubicación

Reseña del libro "Constructing a Composite Vegetable Price Index Using Modified Factor Analysis (en Inglés)"

Master's Thesis from the year 2018 in the subject Biology - Miscellaneous, language: English, abstract: This study introduces a modified factor analysis approach to develop a composite vegetable price index. The new method uses scaling by dividing the original variables with its mean, a specific weight for each individual indicator variable and the index assigns a specific numerical value to prices of vegetables for a given month. Initially monthly wholesale prices of nineteen vegetables were considered. As some vegetable prices were highly correlated, ten representative variables for highly correlated variables were retained based on variable-cluster analysis and correlation analysis. Green Beans, Leeks, Cabbage, Tomatoes, Brinjals, Pumpkin, Cucumber, Luffa, Ash Plantains and Green Chili were the indicator variables considered in the index building process. Initially, the grouping pattern in the data was identified through a Preliminary Factor Analysis. This resulted in a single factor explaining a substantial amount of the total variance. The original variables were divided by their means to scale the variables. The weight corresponding to a particular indicator variable was defined by squaring the Eigen vector coefficient of the given variable of the first Principle Component. Then the scaled variables were weighted and used in the final Factor Analysis. A single factor explaining 69.8% of total variance was selected as the composite index. First, the Vegetable Price Index was defined as a linear function of the composite index. Then it was converted into a function of original indicator variables by summarizing constant terms to make it easy to update. Cronbach's alpha was used to verify the internal consistency of the indicator variables. Scaling in mean and weighting improved internal consistency of the variables.

Opiniones del libro

Preguntas frecuentes sobre el libro

Todos los libros de nuestro catálogo son Originales.
El libro está escrito en Inglés.
La encuadernación de esta edición es Tapa Blanda.

Preguntas y respuestas sobre el libro

¿Tienes una pregunta sobre el libro? Inicia sesión para poder agregar tu propia pregunta.

Opiniones sobre Buscalibre

Ver más opiniones de clientes