Advanced Sampling Methods
Advanced Sampling Methods
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- More about Advanced Sampling Methods
This book covers survey sampling and estimation, with real-world applications and illustrations using R software. It introduces a new method to control sample size using negative correlation and focuses on adaptive cluster sampling, rank-set sampling, and their applications in various disciplines. It is targeted at undergraduate and graduate students and researchers.
Format: Paperback / softback
Length: 301 pages
Publication date: 09 May 2022
Publisher: Springer Verlag, Singapore
This comprehensive book delves into the realm of survey sampling and estimation, encompassing both traditional and advanced techniques related to spatial populations. It presents real-world applications of major sampling methods using the powerful R software, highlighting their practical significance. Recognizing the limitations of large sample sizes due to cost constraints, the book introduces a novel method that leverages domain knowledge to control the size of a sample effectively. Additionally, it delves into adaptive cluster sampling, rank-set sampling, and their applications across diverse fields such as ecology, environmental science, health science, forestry, bio-sciences, and humanities. Designed as a valuable resource for undergraduate and graduate students of statistics, as well as researchers in various disciplines, this book offers insightful insights and practical methodologies for data collection and analysis.
Weight: 492g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811606243
Edition number: 1st ed. 2021
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