This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers hands-on support with their implementation. It presents the theory in a rigorous way and compares and contrasts various statistical methodologies, helping readers understand how to develop new methodologies for small area estimation. It also includes numerous sample applications of small area estimation techniques. The underlying R code is provided in the text and applied to four datasets that mimic data from labor markets and living conditions surveys, where the socioeconomic indicators include the small area estimation of total unemployment, unemployment rates, average annual household incomes and poverty indicators. Given its scope, the book will be useful for master and PhD students, and for official and other applied statisticians.
- ISBN:
- 9783030637569
- 9783030637569
-
Category:
- Probability & statistics
- Format:
- Hardback
- Publication Date:
-
13-03-2021
- Publisher:
- Springer Nature Switzerland AG
- Country of origin:
- Switzerland
- Pages:
- 599
- Dimensions (mm):
- 235x155mm
- Weight:
- 1.09kg
This title is in stock with our Australian supplier and should arrive at our Sydney warehouse within 2 - 3 weeks of you placing an order.
Once received into our warehouse we will despatch it to you with a Shipping Notification which includes online tracking.
Please check the estimated delivery times below for your region, for after your order is despatched from our warehouse:
ACT Metro 2 working days
NSW Metro 2 working days
NSW Rural 2 - 3 working days
NSW Remote 2 - 5 working days
NT Metro 3 - 6 working days
NT Remote 4 - 10 working days
QLD Metro 2 - 4 working days
QLD Rural 2 - 5 working days
QLD Remote 2 - 7 working days
SA Metro 2 - 5 working days
SA Rural 3 - 6 working days
SA Remote 3 - 7 working days
TAS Metro 3 - 6 working days
TAS Rural 3 - 6 working days
VIC Metro 2 - 3 working days
VIC Rural 2 - 4 working days
VIC Remote 2 - 5 working days
WA Metro 3 - 6 working days
WA Rural 4 - 8 working days
WA Remote 4 - 12 working days
Share This Book: