Advanced sampling methods / Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra.

By:

Latpate, Raosaheb [author.]

Contributor(s):

Material type: Text

TextPublication details: Singapore : Springer, 2021.Description: xvii, 301 p. : ill. ; 24 cmSubject(s):

Additional physical formats: No titleDDC classification:

519.52 22 LAA

Summary: This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Books	Central Library, SUST General Stacks	519.52 LAA (Browse shelf(Opens below))	1	Available		0077671

Includes bibliographical references.

This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.

Online resource; title from PDF title page (SpringerLink, viewed May 14, 2021).

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