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 world to write up aspects of Ranked Set Sampling. All of the essays in this book have been reviewed by many critics. This volume can be used as a reference book for postgraduate students in economics, social sciences, medical and biological sciences, and statistics. The subject is still a hot topic for MPhil and PhD students for their dissertations.

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  • Author : Munir Ahmad
  • Publisher : Cambridge Scholars Publishing
  • Pages : 240 pages
  • ISBN : 1443825220
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKRanked Set Sampling

Ranked Set Sampling

Ranked Set Sampling
  • Author : Munir Ahmad,M. Hanif,Hassen A. Muttlak
  • Publisher : Cambridge Scholars Publishing
  • Release : 13 September 2010
GET THIS BOOKRanked 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

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

Ranked Set Sampling

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

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 BOOKRanked 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

Development of Modern Statistics and Related Topics

Development of Modern Statistics and Related Topics
  • Author : Heping Zhang,Yaoting Zhang,Jian Huang
  • Publisher : World Scientific
  • Release : 28 June 2022
GET THIS BOOKDevelopment of Modern Statistics and Related Topics

This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, economics and finance, statistical computing and Bayesian statistics, and statistical genetics. Specifically, the issues that are studied include large deviation, deviation inequalities, local sensitivity of model misspecification in likelihood inference, empirical likelihood confidence intervals, uniform convergence rates in density estimation, randomized designs in clinical trials, MCMC and EM algorithms, approximation of p-values in multipoint linkage analysis, use of mixture models

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 BOOKHandling 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,

Survey Sampling Theory and Applications

Survey Sampling Theory and Applications
  • Author : Raghunath Arnab
  • Publisher : Academic Press
  • Release : 08 March 2017
GET THIS BOOKSurvey 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 contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying

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 BOOKAdvanced 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

Encyclopedia of Survey Research Methods

Encyclopedia of Survey Research Methods
  • Author : Paul J. Lavrakas
  • Publisher : SAGE Publications
  • Release : 12 September 2008
GET THIS BOOKEncyclopedia 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 is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective

Nonparametric Statistical Methods

Nonparametric Statistical Methods
  • Author : Myles Hollander,Douglas A. Wolfe,Eric Chicken
  • Publisher : John Wiley & Sons
  • Release : 25 November 2013
GET THIS BOOKNonparametric 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 nonparametric methods as a significant branch ofmodern statistics and equips readers with the conceptual andtechnical skills necessary to select and apply the appropriateprocedures for any given situation. Written by leading

Intuitive Introductory Statistics

Intuitive Introductory Statistics
  • Author : Douglas A. Wolfe,Grant Schneider
  • Publisher : Springer
  • Release : 09 October 2017
GET THIS BOOKIntuitive Introductory Statistics

This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not valid for a particular data set? This cutting-edge approach provides the alternatives. It is an introduction to the world and possibilities of statistics that uses exercises, computer analyses, and simulations throughout the core lessons. These elementary statistical methods are intuitive. Counting

Decommissioning Health Physics

Decommissioning Health Physics
  • Author : Eric W. Abelquist
  • Publisher : Taylor & Francis
  • Release : 10 October 2013
GET THIS BOOKDecommissioning Health Physics

Experienced Guidance on the Technical Issues of Decommissioning Projects Written by one of the original MARSSIM authors, Decommissioning Health Physics: A Handbook for MARSSIM Users, Second Edition is the only book to incorporate all of the requisite technical aspects of planning and executing radiological surveys in support of decommissioning. Extensively revised and updated, it covers survey instrumentation, detection sensitivity, statistics, dose modeling, survey procedures, and release criteria. New to the Second Edition Chapter on hot spot assessment that recognizes appropriate

Predictive Analytics Using Statistics and Big Data: Concepts and Modeling

Predictive Analytics Using Statistics and Big Data: Concepts and Modeling
  • Author : Krishna Kumar Mohbey,Arvind Pandey,Dharmendra Singh Rajput
  • Publisher : Bentham Science Publishers
  • Release : 09 December 2020
GET THIS BOOKPredictive Analytics Using Statistics and Big Data: Concepts and Modeling

This book presents a selection of the latest and representative developments in predictive analytics using big data technologies. It focuses on some critical aspects of big data and machine learning and provides studies for readers. The chapters address a comprehensive range of advanced data technologies used for statistical modeling towards predictive analytics. Topics included in this book include: - Categorized machine learning algorithms - Player monopoly in cricket teams. - Chain type estimators - Log type estimators - Bivariate survival