Ranked Set Sampling

Ranked Set Sampling
Author: Zehua Chen,Zhidong Bai,Bimal Sinha
Publsiher: Springer Science & Business Media
Total Pages: 227
Release: 2013-03-09
ISBN 10: 0387216642
ISBN 13: 9780387216645
Language: EN, FR, DE, ES & NL

Ranked Set Sampling Book Review:

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.

Handling Missing Data in Ranked Set Sampling

Handling Missing Data in Ranked Set Sampling
Author: Carlos N. Bouza-Herrera
Publsiher: Springer Science & Business Media
Total Pages: 116
Release: 2013-10-04
ISBN 10: 3642398995
ISBN 13: 9783642398995
Language: EN, FR, DE, ES & NL

Handling Missing Data in Ranked Set Sampling Book Review:

​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.

Ranked Set Sampling

Ranked Set Sampling
Author: Munir Ahmad,M. Hanif,Hassen A. Muttlak
Publsiher: Cambridge Scholars Publishing
Total Pages: 240
Release: 2010-09-13
ISBN 10: 1443825220
ISBN 13: 9781443825221
Language: EN, FR, DE, ES & NL

Ranked Set Sampling Book Review:

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

Ranked Set Sampling
Author: Carlos N. Bouza-Herrera,Amer Ibrahim Falah Al-Omari
Publsiher: Academic Press
Total Pages: 314
Release: 2018-10-16
ISBN 10: 0128156937
ISBN 13: 9780128156933
Language: EN, FR, DE, ES & NL

Ranked Set Sampling Book Review:

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

Encyclopedia of Survey Research Methods

Encyclopedia of Survey Research Methods
Author: Paul J. Lavrakas
Publsiher: SAGE Publications
Total Pages: 1072
Release: 2008-09-12
ISBN 10: 150631788X
ISBN 13: 9781506317885
Language: EN, FR, DE, ES & NL

Encyclopedia of Survey Research Methods Book Review:

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.

The Efficiency of Improved Ranked Set Sampling Methods

The Efficiency of Improved Ranked Set Sampling Methods
Author: Syed Shahadat Hossain
Publsiher: Unknown
Total Pages: 528
Release: 1999
ISBN 10: 1928374650XXX
ISBN 13: OCLC:222640945
Language: EN, FR, DE, ES & NL

The Efficiency of Improved Ranked Set Sampling Methods Book Review:

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.

Survey Sampling Theory and Applications

Survey Sampling Theory and Applications
Author: Raghunath Arnab
Publsiher: Academic Press
Total Pages: 930
Release: 2017-03-08
ISBN 10: 0128118970
ISBN 13: 9780128118979
Language: EN, FR, DE, ES & NL

Survey Sampling Theory and Applications Book Review:

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

Ranked Set Sampling Techniques Useful in Environmental Monitoring

Ranked Set Sampling Techniques Useful in Environmental Monitoring
Author: Girja Shankar Pandey,Neeraj Tiwari
Publsiher: LAP Lambert Academic Publishing
Total Pages: 168
Release: 2012-07
ISBN 10: 9783659181528
ISBN 13: 3659181528
Language: EN, FR, DE, ES & NL

Ranked Set Sampling Techniques Useful in Environmental Monitoring Book Review:

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 sampling with the help of numerical illustrations. In the next chapter of the book we have proposed an adaptive cluster sampling theory based on ranked sets.

Ranked Set Sampling Models and Methods

Ranked Set Sampling Models and Methods
Author: Carlos Narciso Bouza Herrera
Publsiher: Unknown
Total Pages: 305
Release: 2021
ISBN 10: 9781799875567
ISBN 13: 1799875563
Language: EN, FR, DE, ES & NL

Ranked Set Sampling Models and Methods Book Review:

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.

Environmental Statistics

Environmental Statistics
Author: Vic Barnett
Publsiher: John Wiley & Sons
Total Pages: 316
Release: 2005-12-13
ISBN 10: 0470026979
ISBN 13: 9780470026977
Language: EN, FR, DE, ES & NL

Environmental Statistics Book Review:

In modern society, we are ever more aware of the environmental issues we face, whether these relate to global warming, depletion of rivers and oceans, despoliation of forests, pollution of land, poor air quality, environmental health issues, etc. At the most fundamental level it is necessary to monitor what is happening in the environment – collecting data to describe the changing scene. More importantly, it is crucial to formally describe the environment with sound and validated models, and to analyse and interpret the data we obtain in order to take action. Environmental Statistics provides a broad overview of the statistical methodology used in the study of the environment, written in an accessible style by a leading authority on the subject. It serves as both a textbook for students of environmental statistics, as well as a comprehensive source of reference for anyone working in statistical investigation of environmental issues. Provides broad coverage of the methodology used in the statistical investigation of environmental issues. Covers a wide range of key topics, including sampling, methods for extreme data, outliers and robustness, relationship models and methods, time series, spatial analysis, and environmental standards. Includes many detailed practical and worked examples that illustrate the applications of statistical methods in environmental issues. Authored by a leading authority on environmental statistics.

Advanced Sampling Methods

Advanced Sampling Methods
Author: Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra
Publsiher: Springer Nature
Total Pages: 301
Release: 2021-05-07
ISBN 10: 9811606226
ISBN 13: 9789811606229
Language: EN, FR, DE, ES & NL

Advanced Sampling Methods Book Review:

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.

Advances in Sampling Theory Ratio Method of Estimation

Advances in Sampling Theory Ratio Method of Estimation
Author: Hulya Cingi,Cem Kadilar
Publsiher: Bentham Science Publishers
Total Pages: 123
Release: 2009-08-11
ISBN 10: 1608050122
ISBN 13: 9781608050123
Language: EN, FR, DE, ES & NL

Advances in Sampling Theory Ratio Method of Estimation Book Review:

"Ratio Method of Estimation - This is an ideal textbook for researchers interested in sampling methods, survey methodologists in government organizations, academicians, and graduate students in statistics, mathematics and biostatistics. This textbook makes"

Nonparametric Statistical Methods

Nonparametric Statistical Methods
Author: Myles Hollander,Douglas A. Wolfe,Eric Chicken
Publsiher: John Wiley & Sons
Total Pages: 848
Release: 2013-11-25
ISBN 10: 1118553292
ISBN 13: 9781118553299
Language: EN, FR, DE, ES & NL

Nonparametric Statistical Methods Book Review:

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 statisticians, Nonparametric StatisticalMethods, Third Edition provides readers with crucialnonparametric techniques in a variety of settings, emphasizing theassumptions underlying the methods. The book provides an extensivearray of examples that clearly illustrate how to use nonparametricapproaches for handling one- or two-sample location and dispersionproblems, dichotomous data, and one-way and two-way layoutproblems. In addition, the Third Edition features: The use of the freely available R software to aid incomputation and simulation, including many new R programs writtenexplicitly 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 spacescience Nonparametric Statistical Methods, Third Edition is anexcellent reference for applied statisticians and practitioners whoseek a review of nonparametric methods and their relevantapplications. The book is also an ideal textbook forupper-undergraduate and first-year graduate courses in appliednonparametric statistics.

Advanced Ranked Set Sampling Theory with Auxiliary Information

Advanced Ranked Set Sampling Theory with Auxiliary Information
Author: Mehta Nitu
Publsiher: LAP Lambert Academic Publishing
Total Pages: 192
Release: 2015-07-27
ISBN 10: 9783659755446
ISBN 13: 3659755443
Language: EN, FR, DE, ES & NL

Advanced Ranked Set Sampling Theory with Auxiliary Information Book Review:

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 practice for improving the efficiencies of the estimators of population parameters. Formulation of estimators for population mean using auxiliary information in ranked set sampling and stratified ranked set sampling has been main objective of the present investigation. Some empirical studies are also given in the support of theoretical findings.

Composite Sampling

Composite Sampling
Author: Ganapati P. Patil,Sharad D. Gore,Charles Taillie
Publsiher: Springer Science & Business Media
Total Pages: 275
Release: 2010-12-25
ISBN 10: 9781441976284
ISBN 13: 1441976280
Language: EN, FR, DE, ES & NL

Composite Sampling Book Review:

Sampling consists of selection, acquisition, and quantification of a part of the population. While selection and acquisition apply to physical sampling units of the population, quantification pertains only to the variable of interest, which is a particular characteristic of the sampling units. A sampling procedure is expected to provide a sample that is representative with respect to some specified criteria. Composite sampling, under idealized conditions, incurs no loss of information for estimating the population means. But an important limitation to the method has been the loss of information on individual sample values, such as, the extremely large value. In many of the situations where individual sample values are of interest or concern, composite sampling methods can be suitably modified to retrieve the information on individual sample values that may be lost due to compositing. This book presents statistical solutions to issues that arise in the context of applications of composite sampling.

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
Publsiher: Bentham Science Publishers
Total Pages: 124
Release: 2020-12-09
ISBN 10: 9811490511
ISBN 13: 9789811490514
Language: EN, FR, DE, ES & NL

Predictive Analytics Using Statistics and Big Data Concepts and Modeling Book Review:

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 data using shared inverse Gaussian frailty models - Weblog analysis - COVID-19 epidemiology This reference book will be of significant benefit to the predictive analytics community as a useful guide of the latest research in this emerging field.

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

Evaluation of Ranked Set Sampling for Estimating Shrub Phytomass in Appalachian Oak Forests
Author: Anonim
Publsiher: Unknown
Total Pages: 9
Release: 1980
ISBN 10: 1928374650XXX
ISBN 13: OSU:32435079253670
Language: EN, FR, DE, ES & NL

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

Proceedings of the Twelfth International Conference on Management Science and Engineering Management

Proceedings of the Twelfth International Conference on Management Science and Engineering Management
Author: Jiuping Xu,Fang Lee Cooke,Mitsuo Gen,Syed Ejaz Ahmed
Publsiher: Springer
Total Pages: 1795
Release: 2018-06-26
ISBN 10: 9783319933504
ISBN 13: 3319933507
Language: EN, FR, DE, ES & NL

Proceedings of the Twelfth International Conference on Management Science and Engineering Management Book Review:

This proceedings book is divided in 2 Volumes and 8 Parts. Part I is dedicated to Decision Support System, which is about the information system that supports business or organizational decision-making activities; Part II is on Computing Methodology, which is always used to provide the most effective algorithm for numerical solutions of various modeling problems; Part III presents Information Technology, which is the application of computers to store, study, retrieve, transmit and manipulate data, or information in the context of a business or other enterprise; Part IV is dedicated to Data Analysis, which is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making; Part V presents papers on Operational Management, which is about the plan, organization, implementation and control of the operation process; Part VI is on Project Management, which is about the initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria at the specified time in the field of engineering; Part VII presents Green Supply Chain, which is about the management of the flow of goods and services based on the concept of “low-carbon”; Part VIII is focused on Industry Strategy Management, which refers to the decision-making and management art of an industry or organization in a long-term and long-term development direction, objectives, tasks and policies, as well as resource allocation.

An Introduction to Model Based Survey Sampling with Applications

An Introduction to Model Based Survey Sampling with Applications
Author: Ray Chambers,Robert Clark
Publsiher: Oxford University Press
Total Pages: 265
Release: 2012-01-12
ISBN 10: 019856662X
ISBN 13: 9780198566625
Language: EN, FR, DE, ES & NL

An Introduction to Model Based Survey Sampling with Applications Book Review:

This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and data analysis and includes exercises and solutions.

Order Statistics

Order Statistics
Author: Herbert A. David,Haikady N. Nagaraja
Publsiher: John Wiley & Sons
Total Pages: 458
Release: 2004-03-22
ISBN 10: 0471654019
ISBN 13: 9780471654018
Language: EN, FR, DE, ES & NL

Order Statistics Book Review:

A completely revised and expanded edition of a classic resource In the over twenty years since the publication of the SecondEdition of Order Statistics, the theories and applications of thisdynamic field have changed markedly. Meeting the challenges anddemands of today’s students and research community, authorsH. A. David and H. N. Nagaraja return with a completely revised andupdated Order Statistics, Third Edition. Chapters two through nine of this comprehensive volume deal withfinite-sample theory, with individual topics grouped underdistribution theory (chapters two through six) and statisticalinference (chapters seven through nine). Chapters ten and elevencover asymptotic theory for central, intermediate, and extremeorder statistics, representing twice the coverage of this subjectthan the previous edition. New sections include: Stochastic orderings Characterizations Distribution-free prediction intervals Bootstrap estimations Moving order statistics Studentized range Ranked-set sampling Estimators of tail index The authors further explain application procedures for manydata-analysis techniques and quality control. An appendix providesa guide to related tables and computer algorithms. Extensiveexercise sets have been updated since the last edition. In spite ofmany eliminations, the total number of references has increasedfrom 1,000 to 1,500. Expanded coverage of shortcut methods, robust estimation, lifetesting, reliability, L-statistics, and extreme-value theorycomplete this one-of-a-kind resource. Students and researchers oforder statistics will appreciate this updated and thoroughedition.