Tracked shipping to South Africa with premium packaging for just R199 

Ship to
South Africa
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Constructing a Composite Vegetable Price Index Using Modified Factor Analysis
Type
Physical Book
Publisher
Author
Language
English
Pages
44
Format
Paperback
ISBN13
9783668982772

Constructing a Composite Vegetable Price Index Using Modified Factor Analysis

Raphel O Thattil; Rupika Abeynayake; S M C P Siriwardhana (Author) · Grin Verlag · Paperback

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

New Book Imported to South Africa
Delivery: 17 Aug - 25 Aug Shipping: 14 to 15 business days.
R 400
R 400

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Constructing a Composite Vegetable Price Index Using Modified Factor Analysis"

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.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews