We a good story
4.1 / 5 on Trustpilot
Quick delivery in the UK
Trusted Ecommerce Europe
Help
Login
  1. Home
  2. Books
  3. Business & Education
  4. Handling Missing Data in Ranked Set Sampling

Handling Missing Data in Ranked Set Sampling

By Carlos N. Bouza-Herrera

part of the SpringerBriefs in Statistics series

Handling Missing Data in Ranked Set Sampling by Carlos N. Bouza-Herrera
About Handling Missing Data in Ranked Set Sampling

The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. Traditionally, simple random sampling is used to select samples. RSS models are developed as counterparts of well-known simple random sampling (SRS) models.

Show more
  • Language:
  • English
  • ISBN:
  • 9783642398988
  • Binding:
  • Paperback
  • Pages:
  • 116
  • Published:
  • October 15, 2013
  • Edition:
  • 2013
  • Dimensions:
  • 155x235x7 mm.
  • Weight:
  • 2058 g.
Delivery: 1-2 weeks
Expected delivery: October 3, 2024

About Carlos N. Bouza-Herrera

View all books by Carlos N. Bouza-Herrera

Description of Handling Missing Data in Ranked Set Sampling

The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. Traditionally, simple random sampling is used to select samples. RSS models are developed as counterparts of well-known simple random sampling (SRS) models.

User ratings of Handling Missing Data in Ranked Set Sampling



Others also bought..
Find similar books
The book Handling Missing Data in Ranked Set Sampling can be found in the following categories:

Join thousands of book lovers

Sign up to our newsletter and receive discounts and inspiration for your next reading experience.