ranked set sampling

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Ranked Set Sampling
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Publisher : Springer Science & Business Media
Release Date :
ISBN 10 : 0387216642
Pages : 227 pages
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The first book on the concept and applications of ranked set sampling. It provides a comprehensive review of the literature, and it includes many new results and novel applications. The detailed description of various methods illustrated by real or simulated data makes it useful for scientists and practitioners in application areas such as agriculture, forestry, sociology, ecological and environmental science, and medical studies. It can serve as a reference book and as a textbook for a short course at the graduate level.

Ranked Set Sampling

The first book on the concept and applications of ranked set sampling. It provides a comprehensive review of the literature, and it includes many new results and novel applications. The detailed description of various methods illustrated by real or simulated data makes it useful for scientists and practitioners in application

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Ranked Set Sampling

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

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Handling Missing Data in Ranked Set Sampling

​The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a refusal of some interviewees to give the true value for the variable of interest. Traditionally, simple random sampling is used

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Ranked Set Sampling

Ranked Set Sampling is one of the new areas of study in this region of the world and is a growing subject of research. Recently, researchers have paid attention to the development of the types of sampling; though it was not welcome in the beginning, it has numerous advantages over

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Ranked Set Sampling Models and Methods

When it comes to data collection and analysis, ranked set sampling (RSS) continues to increasingly be the focus of methodological research. This type of sampling is an alternative to simple random sampling and can offer substantial improvements in precision and efficient estimation. There are different methods within RSS that can

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The Efficiency of Improved Ranked Set Sampling Methods

Ranked set sampling is a desirable sampling technique where the ranking of the sample observations does not require the actual measurement. This thesis develops new ranked set sampling techniques and determines the sampling characteristics required to best estimate the required population parameters, such as mean and variance.

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Ranked Set Sampling Techniques Useful in Environmental Monitoring

Ranked set sampling (RSS)is a novel method of achieving observational economy compared to Simple random sampling (SRS. Often we are faced with situations where measurements on the actual variable are costly and time consuming. However, if we can rank the items by mere inspection, according to the variable without

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Evaluation of Ranked Set Sampling for Estimating Shrub Phytomass in Appalachian Oak Forests

Download or read online Evaluation of Ranked Set Sampling for Estimating Shrub Phytomass in Appalachian Oak Forests written by Anonim, published by Unknown which was released on 1980. Get Evaluation of Ranked Set Sampling for Estimating Shrub Phytomass in Appalachian Oak Forests Books now! Available in PDF, ePub and Kindle.

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Encyclopedia of Survey Research Methods

In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none

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Survey Sampling Theory and Applications

Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not

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Advanced Ranked Set Sampling Theory with Auxiliary Information

The speciality of ranked set sampling is that it combines simple random sampling with other sources of information such as professional knowledge, auxiliary information, judgement, etc., which are inexpensive and easily obtained. In this study, the problem of estimating the unknown population mean of the study variable using information on

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Handling Missing Data in Ranked Set Sampling

Download or read online Handling Missing Data in Ranked Set Sampling written by Carlos N. Bouza-Herrera, published by Unknown which was released on 2013-10-31. Get Handling Missing Data in Ranked Set Sampling Books now! Available in PDF, ePub and Kindle.

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Minimum Disparity Inference for Discrete Ranked Set Sampling Data

Abstract: Ranked set sampling (RSS) is a sampling scheme which can successfully replace simple random sampling (SRS) in experimental settings where measuring the units of interest is difficult, expensive, or time consuming, but ranking small subsets of units is relatively easy and inexpensive. Under perfect ranking, the statistical inference based

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Nonparametric Statistical Methods

Praise for the Second Edition “This book should be an essential part of the personallibrary of every practicingstatistician.”—Technometrics Thoroughly revised and updated, the new edition of NonparametricStatistical Methods includes additional modern topics andprocedures, more practical data sets, and new problems fromreal-life situations. The book continues to emphasize theimportance of

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Ranked Set Sampling for Binary and Ordered Categorical Variables with Applications in Health Survey Data

Abstract: Ranked set sampling (RSS) is a sampling procedure that can be considerably more efficient than simple random sampling. It involves preliminary ranking of the variable of interest to aid in sample selection. Although ranking processes for continuous variables have been studied extensively in the literature, the use of RSS

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