Home Home >
Reference >
Business & economics >
Econometrics >
Ranked Set Sampling

Click for an excerpt

Ranked Set Sampling

65 Years Improving the Accuracy in Data Gathering

Amer Ibrahim Falah Al-Omari, Carlos N. Bouza-Herrera

Academic Press
Publication date : 2018-10-16

Voir les informations d'accessibilité

Add to basket

£163,52

Download no DRM

Streaming

Add to my wish list

Louise Reader

Read on Louise Reader App.

Get £24.53 by recommending this book

Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation of the population and minimizes the costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is the development of well designed, cost-effective and efficient sampling designs, giving RSS techniques a particular place in resolving the disciplinary problems of economists in application contexts, particularly experimental economics. This book seeks to place RSS at the heart of economic study designs. - Focuses on how researchers should manipulate RSS techniques for specific applications - Discusses RSS performs in popular statistical models, such as regression and hypothesis testing - Includes a discussion of open theoretical research problems - Provides mathematical proofs, enabling researchers to develop new models

Les livres numériques peuvent être téléchargés depuis l'ebookstore Numilog ou directement depuis une tablette ou smartphone.

PDF : format reprenant la maquette originale du livre ; lecture recommandée sur ordinateur et tablette
EPUB : format de texte repositionnable ; lecture sur tous supports (ordinateur, tablette, smartphone, liseuse)

Votre support de lecture	Format	Protection	Application
Ordinateur	-EPUB -PDF	DRM Adobe LCP	Lecture en ligne (streaming) Adobe Digital Editions(DRM Adobe) Thorium Reader (LCP)
Tablette et smartphone iOS / Android	EPUB PDF	LCP DRM Adobe	Application Louise Reader : IOS / Android(ne lit pas les fichiers protégés par Adobe DRM) Adobe Digital Edition : IOS/Android(Lit uniquement la DRM Adobe)
Liseuse	EPUB	DRM Adobe	Module de lecture de la liseuse
Liseuse Diva	EPUB	LCP DRM Adobe	Module de lecture de la liseuse Diva

Consultez l’aide pour en savoir plus.

About the book

Author

Amer Ibrahim Falah Al-Omari , Carlos N. Bouza-Herrera

Imprint

Academic Press

Collection

n.c

Publication date

2018-10-16

Pages

314 pages

Print ISBN

9780128150443

Language

English

Ebook informations

EAN EPUB DRM-FREE

9780128156933

Price

£163.52

Informations accessibility

Compatibility

To check the compatibility with your devices,
see help page

About author(s)

Amer Ibrahim Falah Al-Omari

Carlos N. Bouza-Herrera

Prof. Dr. Carlos Bouza-Herrera is Professor of Mathematics, Economics and Computation at Universidad de la Habana, Cuba. Herrera has headed more than 60 research projects and published more than 200 papers. His main area of investigation is in mathematical statistics. He has been author, coauthor or editor of 19 books. He is the consulting editor of Current Index to Statistics and International Abstracts of Operations Research.Professor Amer Al-Omari is a Professor of Statistics at the Department of Mathematics, and Vice-Dean of Academic Research at Al al-Bayt University, Mafraq, Jordan. He is interested in ranked set sampling, entropy, missing data, order statistics, acceptance sampling plans, and statistical inference. He has published over 100 articles.

You may also be interested in...