Ranked Set Sampling Models And Methods
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Ranked Set Sampling Models And Methods
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Author : Bouza-Herrera, Carlos N.
language : en
Publisher: IGI Global
Release Date : 2021-08-06
Ranked Set Sampling Models And Methods written by Bouza-Herrera, Carlos N. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-06 with Computers categories.
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
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Author : Carlos N. Bouza-Herrera
language : en
Publisher: Academic Press
Release Date : 2018-10-16
Ranked Set Sampling written by Carlos N. Bouza-Herrera and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-16 with Business & Economics categories.
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
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Author : Munir Ahmad
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2010-09-13
Ranked Set Sampling written by Munir Ahmad and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-13 with Social Science categories.
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.
Recent Advances On Sampling Methods And Educational Statistics
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Author : Hon Keung Tony Ng
language : en
Publisher: Springer Nature
Release Date : 2022-11-25
Recent Advances On Sampling Methods And Educational Statistics written by Hon Keung Tony Ng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-25 with Mathematics categories.
This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling. S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes' main areas of research, this volume is structured into three main parts: I. ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods II. nonsampling errors in statistical sampling III. educational and behavioral statistics. This collection will be of interest to researchers, advanced students, and professionals in the public and private sectors who would like to learn more about latest advancements in statistical sampling, particularly those who work in educational and behavioral statistics.
Handbook Of Research On Essential Information Approaches To Aiding Global Health In The One Health Context
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Author : Lima de Magalhães, Jorge
language : en
Publisher: IGI Global
Release Date : 2021-10-22
Handbook Of Research On Essential Information Approaches To Aiding Global Health In The One Health Context written by Lima de Magalhães, Jorge and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Medical categories.
Post COVID-19 pandemic, researchers have been evaluating the healthcare system for improvements that can be made. Understanding global healthcare systems’ operations is essential to preventative measures to be taken for the next global health crisis. A key part to bettering healthcare is the implementation of information management and One Health. The Handbook of Research on Essential Information Approaches to Aiding Global Health in the One Health Context evaluates the concepts in global health and the application of essential information management in healthcare organizational strategic contexts. This text promotes understanding in how evaluation health and information management are decisive for health planning, management, and implementation of the One Health concept. Covering topics like development partnerships, global health, and the nature of pandemics, this text is essential for health administrators, policymakers, government officials, public health officials, information systems experts, data scientists, analysts, health information science and global health scholars, researchers, practitioners, doctors, students, and academicians.
Innovative Statistical Methods For Public Health Data
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Author : Ding-Geng (Din) Chen
language : en
Publisher: Springer
Release Date : 2015-08-31
Innovative Statistical Methods For Public Health Data written by Ding-Geng (Din) Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-31 with Medical categories.
The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.
Data Preprocessing Active Learning And Cost Perceptive Approaches For Resolving Data Imbalance
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Author : Rana, Dipti P.
language : en
Publisher: IGI Global
Release Date : 2021-06-04
Data Preprocessing Active Learning And Cost Perceptive Approaches For Resolving Data Imbalance written by Rana, Dipti P. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-04 with Computers categories.
Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world application areas like finance, health, network, news, online advertisement, social network media, and weather have imbalanced data, which emphasizes the research necessity for real-time implications of precise fraud/defaulter detection, rare disease/reaction prediction, network intrusion detection, fake news detection, fraud advertisement detection, cyber bullying identification, disaster events prediction, and more. Machine learning algorithms are based on the heuristic of equally-distributed balanced data and provide the biased result towards the majority data class, which is not acceptable considering imbalanced data is omnipresent in real-life scenarios and is forcing us to learn from imbalanced data for foolproof application design. Imbalanced data is multifaceted and demands a new perception using the novelty at sampling approach of data preprocessing, an active learning approach, and a cost perceptive approach to resolve data imbalance. Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance offers new aspects for imbalanced data learning by providing the advancements of the traditional methods, with respect to big data, through case studies and research from experts in academia, engineering, and industry. The chapters provide theoretical frameworks and the latest empirical research findings that help to improve the understanding of the impact of imbalanced data and its resolving techniques based on data preprocessing, active learning, and cost perceptive approaches. This book is ideal for data scientists, data analysts, engineers, practitioners, researchers, academicians, and students looking for more information on imbalanced data characteristics and solutions using varied approaches.
Data Mining Approaches For Big Data And Sentiment Analysis In Social Media
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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2021-12-31
Data Mining Approaches For Big Data And Sentiment Analysis In Social Media written by Gupta, Brij B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-31 with Computers categories.
Social media sites are constantly evolving with huge amounts of scattered data or big data, which makes it difficult for researchers to trace the information flow. It is a daunting task to extract a useful piece of information from the vast unstructured big data; the disorganized structure of social media contains data in various forms such as text and videos as well as huge real-time data on which traditional analytical methods like statistical approaches fail miserably. Due to this, there is a need for efficient data mining techniques that can overcome the shortcomings of the traditional approaches. Data Mining Approaches for Big Data and Sentiment Analysis in Social Media encourages researchers to explore the key concepts of data mining, such as how they can be utilized on online social media platforms, and provides advances on data mining for big data and sentiment analysis in online social media, as well as future research directions. Covering a range of concepts from machine learning methods to data mining for big data analytics, this book is ideal for graduate students, academicians, faculty members, scientists, researchers, data analysts, social media analysts, managers, and software developers who are seeking to learn and carry out research in the area of data mining for big data and sentiment.
Setting Environmental Standards
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Author : V Barnett
language : en
Publisher: CRC Press
Release Date : 2020-02-03
Setting Environmental Standards written by V Barnett and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-03 with Law categories.
Introducing a novel approach to setting environmental pollution standards that allow for proper treatment of uncertainty and variation, this book surveys the forms of standards and proposes a new kind of "statistically verifiable ideal standard." Setting Environmental Standards includes: a current analysis regarding the treatment of uncertainty and variation in environmental standard setting a review of basic principles in standard setting, including costs, actions and effects, and benefits examples where uncertainty and variation have been well-treated in current practice as well as examples where clear deficiencies are apparent specific proposals for the future approach to setting environmental pollution standards - encompassing the anticipated elements of uncertainty and variability The issues discussed serve statisticians as well as those persons involved with environmental standards. Scientists in agencies responsible for setting standards, in organizations advising such agencies or working in industries subject to these standards, will find Setting Environmental Standards an invaluable reference.
Development Of Modern Statistics And Related Topics
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Author : Heping Zhang
language : en
Publisher: World Scientific
Release Date : 2003
Development Of Modern Statistics And Related Topics written by Heping Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.
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.