Ranked Set Sampling

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Ranked Set Sampling

Munir Ahmad,M. Hanif,Hassen A. Muttlak
Ranked Set Sampling Book PDF

Author : Munir Ahmad,M. Hanif,Hassen A. Muttlak
Publisher : Cambridge Scholars Publishing
Page : 240 pages
File Size : 45,9 Mb
Release : 2010-09-13
Category : Social Science
ISBN : 9781443825221

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Ranked Set Sampling by Munir Ahmad,M. Hanif,Hassen A. Muttlak Pdf

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.

Ranked Set Sampling

Carlos N. Bouza-Herrera,Amer Ibrahim Falah Al-Omari
Ranked Set Sampling Book PDF

Author : Carlos N. Bouza-Herrera,Amer Ibrahim Falah Al-Omari
Publisher : Academic Press
Page : 314 pages
File Size : 50,5 Mb
Release : 2018-10-16
Category : Business & Economics
ISBN : 9780128156933

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Ranked Set Sampling by Carlos N. Bouza-Herrera,Amer Ibrahim Falah Al-Omari Pdf

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. This book seeks to place RSS at the heart of economic study designs. Focuses on how researchers should manipulate RSS techniques for specific applications Discusses RSS performs in popular statistical models, such as regression and hypothesis testing Includes a discussion of open theoretical research problems Provides mathematical proofs, enabling researchers to develop new models

Ranked Set Sampling

Zehua Chen,Zhidong Bai,Bimal Sinha
Ranked Set Sampling Book PDF

Author : Zehua Chen,Zhidong Bai,Bimal Sinha
Publisher : Springer Science & Business Media
Page : 235 pages
File Size : 46,8 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9780387216645

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Ranked Set Sampling by Zehua Chen,Zhidong Bai,Bimal Sinha Pdf

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 Models and Methods

Carlos N. Bouza-Herrera
Ranked Set Sampling Models and Methods Book PDF

Author : Carlos N. Bouza-Herrera
Publisher : Unknown
Page : 305 pages
File Size : 42,8 Mb
Release : 2021
Category : Ranking and selection (Statistics)
ISBN : 1799875563

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Ranked Set Sampling Models and Methods by Carlos N. Bouza-Herrera Pdf

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 modeling and applications, and a growing importance in theory and practice, it is essential for modeling to be further explored and developed through research. Ranked Set Sampling Models and Methods presents an innovative look at modeling survey sampling research and new models of RSS along with the future potentials of it. The book provides a panoramic view of the state of the art of RSS by presenting some previously known and new models. The chapters illustrate how the modeling is to be developed and how they improve the efficiency of the inferences. The chapters highlight topics such as bootstrap methods, fuzzy weight ranked set sampling method, item count technique, stratified ranked set sampling, and more. This book is essential for statisticians, social and natural science scientists, physicians and all the persons involved with the use of sampling theory in their research along with practitioners, researchers, academicians, and students interested in the latest models and methods for ranked set sampling.

Ranked Set Sampling Models and Methods

Bouza-Herrera, Carlos N.
Ranked Set Sampling Models and Methods Book PDF

Author : Bouza-Herrera, Carlos N.
Publisher : IGI Global
Page : 276 pages
File Size : 54,8 Mb
Release : 2021-08-06
Category : Computers
ISBN : 9781799875581

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Ranked Set Sampling Models and Methods by Bouza-Herrera, Carlos N. Pdf

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 modeling and applications, and a growing importance in theory and practice, it is essential for modeling to be further explored and developed through research. Ranked Set Sampling Models and Methods presents an innovative look at modeling survey sampling research and new models of RSS along with the future potentials of it. The book provides a panoramic view of the state of the art of RSS by presenting some previously known and new models. The chapters illustrate how the modeling is to be developed and how they improve the efficiency of the inferences. The chapters highlight topics such as bootstrap methods, fuzzy weight ranked set sampling method, item count technique, stratified ranked set sampling, and more. This book is essential for statisticians, social and natural science scientists, physicians and all the persons involved with the use of sampling theory in their research along with practitioners, researchers, academicians, and students interested in the latest models and methods for ranked set sampling.

Survey Sampling Theory and Applications

Raghunath Arnab
Survey Sampling Theory and Applications Book PDF

Author : Raghunath Arnab
Publisher : Academic Press
Page : 930 pages
File Size : 52,5 Mb
Release : 2017-03-08
Category : Mathematics
ISBN : 9780128118979

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Survey Sampling Theory and Applications by Raghunath Arnab Pdf

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 probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. Covers a wide spectrum of topics on survey sampling and statistics Serves as an ideal text for graduate students and researchers in survey sampling theory and applications Contains material on recent developments in survey sampling not covered in other books Illustrates theories using numerical examples and exercises

Advanced Sampling Methods

Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra
Advanced Sampling Methods Book PDF

Author : Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra
Publisher : Springer Nature
Page : 301 pages
File Size : 51,5 Mb
Release : 2021-05-07
Category : Mathematics
ISBN : 9789811606229

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Advanced Sampling Methods by Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra Pdf

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.

Encyclopedia of Survey Research Methods

Paul J. Lavrakas
Encyclopedia of Survey Research Methods Book PDF

Author : Paul J. Lavrakas
Publisher : SAGE Publications
Page : 1072 pages
File Size : 42,5 Mb
Release : 2008-09-12
Category : Social Science
ISBN : 9781506317885

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Encyclopedia of Survey Research Methods by Paul J. Lavrakas Pdf

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 that considers all aspects of possible survey error from a cost-benefit standpoint.

Statistical Methods for Ranking Data

Mayer Alvo,Philip L.H. Yu
Statistical Methods for Ranking Data Book PDF

Author : Mayer Alvo,Philip L.H. Yu
Publisher : Springer
Page : 273 pages
File Size : 43,8 Mb
Release : 2014-09-02
Category : Mathematics
ISBN : 9781493914715

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Statistical Methods for Ranking Data by Mayer Alvo,Philip L.H. Yu Pdf

This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website.

Monitoring Vertebrate Populations

William L. Thompson,Gary C. White,Charles Gowan
Monitoring Vertebrate Populations Book PDF

Author : William L. Thompson,Gary C. White,Charles Gowan
Publisher : Elsevier
Page : 365 pages
File Size : 42,8 Mb
Release : 1998-08-17
Category : Science
ISBN : 9780080536941

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Monitoring Vertebrate Populations by William L. Thompson,Gary C. White,Charles Gowan Pdf

This book is written to serve as a general reference for biologists and resource managers with relatively little statistical training. It focuses on both basic concepts and practical applications to provide professionals with the tools needed to assess monitoring methods that can detect trends in populations. It combines classical finite population sampling designs with population enumeration procedures in a unified approach for obtaining abundance estimates for species of interest. The statistical information is presented in practical, easy-to-understand terminology. Presented in practical, easy-to-understand terminology Serves as a general reference for biologists and resource managers Provides the tools needed to detect trends in populations Introduces a unified approach for obtaining abundance estimates

Advances on Theoretical and Methodological Aspects of Probability and Statistics

N. Balakrishnan
Advances on Theoretical and Methodological Aspects of Probability and Statistics Book PDF

Author : N. Balakrishnan
Publisher : CRC Press
Page : 562 pages
File Size : 41,9 Mb
Release : 2003-04-24
Category : Mathematics
ISBN : 0203493206

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Advances on Theoretical and Methodological Aspects of Probability and Statistics by N. Balakrishnan Pdf

At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and characterizations, inference, Bayesian inference, selection methods, regression methods, and methods in health research. The text is ideal for applied mathematicians, statisticians, and researchers in the field.

Handling Missing Data in Ranked Set Sampling

Carlos N. Bouza-Herrera
Handling Missing Data in Ranked Set Sampling Book PDF

Author : Carlos N. Bouza-Herrera
Publisher : Springer Science & Business Media
Page : 124 pages
File Size : 53,6 Mb
Release : 2013-10-04
Category : Mathematics
ISBN : 9783642398995

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Handling Missing Data in Ranked Set Sampling by Carlos N. Bouza-Herrera Pdf

​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, in many cases, shows an improvement in terms of accuracy compared with traditional sampling. It is called Ranked Set Sampling (RSS). A random selection is made with the replacement of samples, which are ordered (ranked). The literature on the subject is increasing due to the potentialities of RSS for deriving more effective alternatives to well-established statistical models. In this work, the use of RSS sub-sampling for obtaining information among the non respondents and different imputation procedures are considered. RSS models are developed as counterparts of well-known simple random sampling (SRS) models. SRS and RSS models for estimating the population using missing data are presented and compared both theoretically and using numerical experiments.

Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

M. Kenan Terzioğlu
Advances in Econometrics Operational Research Data Science and Actuarial Studies Book PDF

Author : M. Kenan Terzioğlu
Publisher : Springer Nature
Page : 607 pages
File Size : 44,6 Mb
Release : 2022-01-17
Category : Business & Economics
ISBN : 9783030852542

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Advances in Econometrics, Operational Research, Data Science and Actuarial Studies by M. Kenan Terzioğlu Pdf

This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.

Nonparametric Statistical Methods

Myles Hollander,Douglas A. Wolfe,Eric Chicken
Nonparametric Statistical Methods Book PDF

Author : Myles Hollander,Douglas A. Wolfe,Eric Chicken
Publisher : John Wiley & Sons
Page : 978 pages
File Size : 44,8 Mb
Release : 2013-11-25
Category : Mathematics
ISBN : 9781118553299

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Nonparametric Statistical Methods by Myles Hollander,Douglas A. Wolfe,Eric Chicken Pdf

Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation. Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features: The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.

Topics in Survey Sampling

Parimal Mukhopadhyay
Topics in Survey Sampling Book PDF

Author : Parimal Mukhopadhyay
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 48,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461220886

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Topics in Survey Sampling by Parimal Mukhopadhyay Pdf

The aim of this book is to make a comprehensive review on some of the research topics in the area of survey sampling which has not been covered in any book yet. The proposed book aims at making a comprehensive review of applications of Bayes procedures, Empirical Bayes procedures and their ramifications (like linear Bayes estimation, restricted Bayes least square prediction, constrained Bayes estimation, Bayesian robustness) in making inference from a finite population sampling. Parimal Mukhopadhyay is Professor at the Indian Statistical Institute (ISI), Calcutta. He received his Ph.D. degree in Statistics from the University of Calcutta in 1977. He also served as a faculty member in the University of Ife, Nigeria, Moi University, Kenya, University of South Pacific, Fiji Islands and held visiting positions at University of Montreal, University of Windsor, Stockholm University, University of Western Australia, etc. He has to his credit more than fifty research papers in Survey Sampling, some co-authored, three text books on Statistics and three research monographs in Survey Sampling. He is a member of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute.