6,79 €
Introduction to Small Area Estimation Techniques
Introduction to Small Area Estimation Techniques
  • Išparduota
Introduction to Small Area Estimation Techniques
Introduction to Small Area Estimation Techniques
El. knyga:
6,79 €
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and imple…
0
  • Leidėjas:
  • Metai: 2020
  • Puslapiai: 110
  • ISBN: 9789292622237
  • ISBN-10: 9292622234
  • ISBN-13: 9789292622237
  • Formatas: ACSM ?
  • Kalba: Anglų

Introduction to Small Area Estimation Techniques | knygos.lt

Atsiliepimai

Įvertinimų nėra.
Įvertink ir tu! Visi atsiliepimai

Aprašymas

This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.

6,79 €
Prisijunkite ir už šią prekę
gausite 0,07 Knygų Eurų! ?

Elektroninė knyga:
Atsiuntimas po užsakymo akimirksniu! Skirta skaitymui tik kompiuteryje, planšetėje ar kitame elektroniniame įrenginyje.

Kaip skaityti el. knygas ACSM formatu?

Mažiausia kaina per 30 dienų: 6,79 €

Mažiausia kaina užfiksuota: 2025-06-27 07:18:10


This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
[{"option":"58","probability":13,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/685e599c86b351751013788.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"57","probability":14,"style":{"backgroundColor":"#e31e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/685e5981e89e41751013761.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"56","probability":15,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/685e59691dc2d1751013737.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"55","probability":14,"style":{"backgroundColor":"#e31e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/685e590bade881751013643.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"54","probability":15,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/685e58f20a7761751013618.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"53","probability":14,"style":{"backgroundColor":"#e31e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/685e58d20c1ee1751013586.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"52","probability":14.5,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/685e58b358b2e1751013555.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"51","probability":0.5,"style":{"backgroundColor":"#e31e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/685e57cded6da1751013325.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}}]