Ranked Set Sampling

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  • Author : Zehua Chen
  • Publisher : Springer Science & Business Media
  • Pages : 227 pages
  • ISBN : 0387216642
  • Rating : /5 from reviews
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Download or Read online Ranked Set Sampling full in PDF, ePub and kindle. this book written by Zehua Chen and published by Springer Science & Business Media which was released on 09 March 2013 with total page 227 pages. We cannot guarantee that Ranked Set Sampling book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Ranked Set Sampling
  • Author : Zehua Chen,Zhidong Bai,Bimal Sinha
  • Publisher : Springer Science & Business Media
  • Release : 09 March 2013
GET THIS BOOK 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 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

Handling Missing Data in Ranked Set Sampling

Handling Missing Data in Ranked Set Sampling
  • Author : Carlos N. Bouza-Herrera
  • Publisher : Springer Science & Business Media
  • Release : 04 October 2013
GET THIS BOOK 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 to select samples. Most statistical models are supported by the use of samples selected by means of this design. In recent decades, an alternative design has started being used, which,

The Efficiency of Improved Ranked Set Sampling Methods

The Efficiency of Improved Ranked Set Sampling Methods
  • Author : Syed Shahadat Hossain
  • Publisher : Unknown
  • Release : 26 November 1999
GET THIS BOOK 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.

Ranked Set Sampling

Ranked Set Sampling
  • Author : Munir Ahmad,M. Hanif,Hassen A. Muttlak
  • Publisher : Cambridge Scholars Publishing
  • Release : 13 September 2010
GET THIS BOOK 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 the classical sampling techniques. Ranked Set Sampling is doubly random and can be used in any survey designs. The Pakistan Journal of Statistics had attracted statisticians and samplers around the

Ranked Set Sampling Techniques Useful in Environmental Monitoring

Ranked Set Sampling Techniques Useful in Environmental Monitoring
  • Author : Girja Shankar Pandey,Neeraj Tiwari
  • Publisher : LAP Lambert Academic Publishing
  • Release : 01 July 2012
GET THIS BOOK 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 taking actual measurements, this often happens in environmental monitoring and assessment that require observational data.In this book we obtain the utility of ranked set sampling over the simple random

Ranked Set Sampling Models and Methods

Ranked Set Sampling Models and Methods
  • Author : Bouza-Herrera, Carlos N.
  • Publisher : IGI Global
  • Release : 06 August 2021
GET THIS BOOK 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 be further explored and discussed. On top of being efficient, RSS is cost-efficient and can be used in situations where sample units are difficult to obtain. With new results in

Ranked Set Sampling

Ranked Set Sampling
  • Author : Carlos N. Bouza-Herrera,Amer Ibrahim Falah Al-Omari
  • Publisher : Academic Press
  • Release : 16 October 2018
GET THIS BOOK 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 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.

Advanced Ranked Set Sampling Theory with Auxiliary Information

Advanced Ranked Set Sampling Theory with Auxiliary Information
  • Author : Mehta Nitu
  • Publisher : LAP Lambert Academic Publishing
  • Release : 27 July 2015
GET THIS BOOK 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 auxiliary variable has been considered and new estimators have been developed with their properties in ranked set sampling and stratified ranked set sampling. Use of auxiliary information has been in

Minimum Disparity Inference for Discrete Ranked Set Sampling Data

Minimum Disparity Inference for Discrete Ranked Set Sampling Data
  • Author : Roxana Antoanela Alexandridis
  • Publisher : Unknown
  • Release : 26 November 2021
GET THIS BOOK 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 on a RSS data is more efficient than the inference based on a SRS data of equal size. In practice, the ranking process is most likely subject to errors, and

Development of Modern Statistics and Related Topics

Development of Modern Statistics and Related Topics
  • Author : Yaoting Zhang
  • Publisher : World Scientific
  • Release : 26 November 2021
GET THIS BOOK Development of Modern Statistics and Related Topics

An interview with Professor Yaoting Zhang / Qiwei Yao and Zhaohai Li -- Significance level in interval mapping / David O. Siegmund and Benny Yakir -- An asymptotic Pythagorean identity / Zhiliang Ying -- A Monte Carlo gap test in computing HPD regions / Ming-Hui Chen [und weitere] -- Estimating restricted normal means using the EM-type algorithms and IBF sampling / Ming Tan, Guo-Liang Tian and Hong-Bin Fang -- An example of algorithm mining: covariance adjustment to accelerate EM and Gibbs / Chuanhai Liu -- Large

Advanced Sampling Methods

Advanced Sampling Methods
  • Author : Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra
  • Publisher : Springer Nature
  • Release : 07 May 2021
GET THIS BOOK Advanced Sampling Methods

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