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

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.

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.

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.

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 Models and Methods

Ranked Set Sampling Models and Methods
Author: Carlos Narciso Bouza Herrera
Publsiher: Unknown
Total Pages: 329
Release: 2021
ISBN 10: 9781799875581
ISBN 13: 179987558X
Language: EN, FR, DE, ES & NL

Ranked Set Sampling Models and Methods Book Review:

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.

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.

Development of Modern Statistics and Related Topics

Development of Modern Statistics and Related Topics
Author: Heping Zhang,Yaoting Zhang,Jian Huang
Publsiher: World Scientific
Total Pages: 287
Release: 2003
ISBN 10: 9812383956
ISBN 13: 9789812383952
Language: EN, FR, DE, ES & NL

Development of Modern Statistics and Related Topics Book Review:

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 in genetic studies, and design and analysis of quantitative traits.

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: 2018-06-25
ISBN 10: 3319933515
ISBN 13: 9783319933511
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.

Intuitive Introductory Statistics

Intuitive Introductory Statistics
Author: Douglas A. Wolfe,Grant Schneider
Publsiher: Springer
Total Pages: 976
Release: 2017-10-09
ISBN 10: 3319560727
ISBN 13: 9783319560724
Language: EN, FR, DE, ES & NL

Intuitive Introductory Statistics Book Review:

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 and ranking features prominently in the text. Nonparametric methods, for instance, are often based on counts and ranks and are very easy to integrate into an introductory course.​ The ease of computation with advanced calculators and statistical software, both of which factor into this text, allows important techniques to be introduced earlier in the study of statistics. This book's novel scope also includes measuring symmetry with Walsh averages, finding a nonparametric regression line, jackknifing, and bootstrapping​. Concepts and techniques are explored through practical problems. Quantitative reasoning is at the core of so many professions and academic disciplines, and this book opens the door to the most modern possibilities.

Sampling Strategies for Natural Resources and the Environment

Sampling Strategies for Natural Resources and the Environment
Author: Timothy G. Gregoire,Harry T. Valentine
Publsiher: CRC Press
Total Pages: 496
Release: 2007-07-12
ISBN 10: 0203498887
ISBN 13: 9780203498880
Language: EN, FR, DE, ES & NL

Sampling Strategies for Natural Resources and the Environment Book Review:

Written by renowned experts in the field, Sampling Strategies for Natural Resources and the Environment covers the sampling techniques used in ecology, forestry, environmental science, and natural resources. The book presents methods to estimate aggregate characteristics on a per unit area basis as well as on an elemental basis. In addition to common sampling designs such as simple random sampling and list sampling, the authors explore more specialized designs for sampling vegetation, including randomized branch sampling and 3P sampling. One of the book's unique features is the emphasis on areal sampling designs, including plot/quadrat sampling, Bitterlich sampling, line intersect sampling, and several lesser known designs. The book also provides comprehensive solutions to the problem of edge effect. Another distinguishing aspect is the inclusion of sampling designs for continuums, focusing on the methods of Monte Carlo integration. By presenting a conceptual understanding of each sampling design and estimation procedure as well as mathematical derivations and proofs in the chapter appendices, this text promotes a deep understanding of the underpinnings of sampling theory, estimation, and inference. Moreover, it will help you reliably sample natural populations and continuums.

Sampling Essentials

Sampling Essentials
Author: Johnnie Daniel
Publsiher: SAGE Publications
Total Pages: 320
Release: 2011-04-25
ISBN 10: 145222305X
ISBN 13: 9781452223056
Language: EN, FR, DE, ES & NL

Sampling Essentials Book Review:

Written for students taking research methods courses, this text provides a thorough overview of sampling principles. The author gives detailed, nontechnical descriptions and guidelines with limited presentation of formulas to help students reach basic research decisions, such as whether to choose a census or a sample, as well as how to select sample size and sample type. Intended for students and researchers in the social and behavioral sciences, public health research, marketing research, and related areas, the text provides nonstatisticians with the concepts and techniques they need to do quality work and make good sampling choices.

Moving Extreme Ranked Set Sampling for Simple Linear Regression

Moving Extreme Ranked Set Sampling for Simple Linear Regression
Author: M. T. Alodat
Publsiher: Unknown
Total Pages: 13
Release: 2009
ISBN 10:
ISBN 13: OCLC:879824670
Language: EN, FR, DE, ES & NL

Moving Extreme Ranked Set Sampling for Simple Linear Regression Book Review:

Decommissioning Health Physics

Decommissioning Health Physics
Author: Eric W. Abelquist
Publsiher: Taylor & Francis
Total Pages: 696
Release: 2013-10-10
ISBN 10: 1466510544
ISBN 13: 9781466510548
Language: EN, FR, DE, ES & NL

Decommissioning Health Physics Book Review:

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 dosimetric significance of hot spots when designing surveys and includes a new approach for establishing hot spot limits Chapter on the clearance or release of materials, highlighting aspects of the MARSAME manual Revised chapter on characterization survey design to reflect guidance in ANSI N13.59 on the value of data quality objectives (DQOs) Updated regulations and guidance documents throughout Updated survey instrumentation used to support decontamination and decommissioning (D&D) surveys, including expanded coverage of in situ gamma spectrometers Revised statistics chapter that includes an introduction to Bayesian statistics and additional double sampling and ranked set sampling statistical approaches More case studies and examples throughout Implement the Surveys Effectively and Avoid Common Pitfalls With more than 20 years of experience as a practitioner in the decommissioning survey field, author Eric W. Abelquist prepares you for the technical challenges associated with planning and executing MARSSIM surveys. He discusses the application of statistics for survey design and data reduction and addresses the selection of survey instrumentation and detection sensitivity. He presents final status survey procedures and covers pathway modeling to translate release criteria to measurable quantities. He also offers solutions for navigating the complexity inherent in designing and implementing MARSSIM and MARSAME surveys. Detailed derivations, thorough discussions of technical bases, and real-world examples and case studies illustrate effective strategies for demonstrating to regulators and stakeholders that contaminated sites can be released for other beneficial uses.

Statistical Methods and Applications in Forestry and Environmental Sciences

Statistical Methods and Applications in Forestry and Environmental Sciences
Author: Girish Chandra,Raman Nautiyal,Hukum Chandra
Publsiher: Springer
Total Pages: 288
Release: 2021-01-06
ISBN 10: 9789811514784
ISBN 13: 981151478X
Language: EN, FR, DE, ES & NL

Statistical Methods and Applications in Forestry and Environmental Sciences Book Review:

This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.

Randomized Response

Randomized Response
Author: Arijit Chaudhuri,Rahul Mukerjee
Publsiher: Routledge
Total Pages: 184
Release: 2020-10-28
ISBN 10: 1351419838
ISBN 13: 9781351419833
Language: EN, FR, DE, ES & NL

Randomized Response Book Review:

Offering a concise account of the most appropriate and efficient procedures for analyzing data from queries dealing with sensitive and confidential issues- including the first book-length treatment of infinite and finite population set-ups - this volume begins with the simplest problems, complete with their properties and solutions, and proceeds to incrementally more difficult topics. Randomized Response is mandatory reading for statisticians and biostatisticians, market researchers, operations researchers, pollsters, sociologists, political scientists, economists and advanced undergraduate and graduate students in these areas.

Robust Nonparametric Statistical Methods

Robust Nonparametric Statistical Methods
Author: Thomas P. Hettmansperger,Joseph W. McKean
Publsiher: John Wiley & Sons
Total Pages: 467
Release: 1998
ISBN 10:
ISBN 13: STANFORD:36105023161156
Language: EN, FR, DE, ES & NL

Robust Nonparametric Statistical Methods Book Review:

Offering an alternative to traditional statistical procedures which are based on least squares fitting, the authors cover such topics as one and two sample location models, linear models, and multivariate models. Both theory and applications are examined.

Monitoring Vertebrate Populations

Monitoring Vertebrate Populations
Author: William L. Thompson,Gary C. White,Charles Gowan
Publsiher: Elsevier
Total Pages: 365
Release: 1998-08-17
ISBN 10: 0080536948
ISBN 13: 9780080536941
Language: EN, FR, DE, ES & NL

Monitoring Vertebrate Populations Book Review:

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

Methods and Applications of Statistics in the Atmospheric and Earth Sciences

Methods and Applications of Statistics in the Atmospheric and Earth Sciences
Author: N. Balakrishnan
Publsiher: John Wiley & Sons
Total Pages: 362
Release: 2013
ISBN 10: 0470503440
ISBN 13: 9780470503447
Language: EN, FR, DE, ES & NL

Methods and Applications of Statistics in the Atmospheric and Earth Sciences Book Review:

"Presenting a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the earth and atmospheric sciences. Containing contributions from over 100 leading academics, researchers, and practitioners in these fields, this comprehensive book unveils modern, approaches to the acquisition and analysis of data across diverse subject areas like geology, agriculture, animal science, and geophysics. It discusses techniques related to survey methodology, computational statistics, and operations research and covers new areas of interest like non-linear weather forecasting, construction geological surveys, and water pollution assessment"--