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Ranked Set Sampling

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Ranked Set Sampling Models and Methods

Ranked Set Sampling Models and Methods Book
Author : Bouza-Herrera, Carlos N.
Publisher : IGI Global
Release : 2021-08-06
ISBN : 179987558X
Language : En, Es, Fr & De

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Book Description :

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

Ranked Set Sampling Book
Author : Zehua Chen,Zhidong Bai,Bimal Sinha
Publisher : Springer Science & Business Media
Release : 2013-03-09
ISBN : 0387216642
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Carlos N. Bouza-Herrera,Amer Ibrahim Falah Al-Omari
Publisher : Academic Press
Release : 2018-10-16
ISBN : 0128156937
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Munir Ahmad,M. Hanif,Hassen A. Muttlak
Publisher : Cambridge Scholars Publishing
Release : 2010-09-13
ISBN : 1443825220
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Carlos N. Bouza-Herrera
Publisher : Springer Science & Business Media
Release : 2013-10-04
ISBN : 3642398995
Language : En, Es, Fr & De

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Book Description :

​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.

Development of Modern Statistics and Related Topics

Development of Modern Statistics and Related Topics Book
Author : Yaoting Zhang
Publisher : World Scientific
Release : 2003
ISBN : 9789812796707
Language : En, Es, Fr & De

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Book Description :

An interview with Professor Yaoting Zhang / Qiwei Yao and Zhaohai Li -- Significance level in interval mapping / David O. Siegmund and Benny Yakir -- An asymptotic Pythagorean identity / Zhiliang Ying -- A Monte Carlo gap test in computing HPD regions / Ming-Hui Chen [und weitere] -- Estimating restricted normal means using the EM-type algorithms and IBF sampling / Ming Tan, Guo-Liang Tian and Hong-Bin Fang -- An example of algorithm mining: covariance adjustment to accelerate EM and Gibbs / Chuanhai Liu -- Large deviations and deviation inequality for kernel density estimator in L[symbol]-distance / Liangzhen Lei, Liming Wu and Bin Xie -- Local sensitivity analysis of model misspecification / Guobing Lu -- Empirical likelihood confidence intervals for the difference of two quantiles of a population / Yongsong Qin and Yuehua Wu -- Exponential inequalities for spatial processes and uniform convergence rates for density estimation / Qiwei Yao -- A skew regression model for inference of stock volatility / Tuhao J. Chen and Hanfeng Chen -- Explicit transitional dynamics in growth models / Danyang Xie -- A fiscal federalism approach to optimal taxation and intergovernmental transfers in a dynamic model / Liutang Gong and Heng-Fu Zou -- Sharing catastrophe risk under model uncertainty / Xiaodong Zhu -- Ranked set sampling: a methodology for observational economy / Zehua Chen -- Some recent advances on response-adaptive randomized designs / Feifang Hu -- A childhood epidemic model with birthrate-dependent transmission / Yingcun Xia -- Linear regression analysis with observations subject to interval censoring / Linxiong Li -- When can the Haseman-Elston procedure for quantitative trait loci be improved? Insights from optimal design theory / Zhaohai Li, Minyu Xie and Joseph L. Gastwirth -- A semiparametric method for mapping quantitative trait loci / Jian Huang and Kai Wang -- Structure mixture regression models / Hongtu Zhu and Heping Zhang

Advanced Sampling Methods

Advanced Sampling Methods Book
Author : Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra
Publisher : Springer Nature
Release : 2021-05-07
ISBN : 9811606226
Language : En, Es, Fr & De

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Book Description :

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.

The Efficiency of Improved Ranked Set Sampling Methods

The Efficiency of Improved Ranked Set Sampling Methods Book
Author : Syed Shahadat Hossain
Publisher : Unknown
Release : 1999
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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.

Sampling Strategies for Natural Resources and the Environment

Sampling Strategies for Natural Resources and the Environment Book
Author : Timothy G. Gregoire,Harry T. Valentine
Publisher : CRC Press
Release : 2007-07-12
ISBN : 1584883707
Language : En, Es, Fr & De

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Book Description :

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.

Advances on Methodological and Applied Aspects of Probability and Statistics

Advances on Methodological and Applied Aspects of Probability and Statistics Book
Author : N. Balakrishnan
Publisher : CRC Press
Release : 2004-03-01
ISBN : 9780203493212
Language : En, Es, Fr & De

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Book Description :

This is one of two volumes that sets forth invited papers presented at the International Indian Statistical Association Conference. This volume emphasizes advancements in methodology and applications of probability and statistics. The chapters, representing the ideas of vanguard researchers on the topic, present several different subspecialties, including applied probability, models and applications, estimation and testing, robust inference, regression and design and sample size methodology. The text also fully describes the applications of these new ideas to industry, ecology, biology, health, economics and management. Researchers and graduate students in mathematical analysis, as well as probability and statistics professionals in industry, will learn much from this volume.

Methods and Applications of Statistics in the Atmospheric and Earth Sciences

Methods and Applications of Statistics in the Atmospheric and Earth Sciences Book
Author : N. Balakrishnan
Publisher : John Wiley & Sons
Release : 2013
ISBN : 0470503440
Language : En, Es, Fr & De

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Book Description :

"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"--

Innovative Statistical Methods for Public Health Data

Innovative Statistical Methods for Public Health Data Book
Author : Ding-Geng (Din) Chen,Jeffrey Wilson
Publisher : Springer
Release : 2015-08-31
ISBN : 3319185365
Language : En, Es, Fr & De

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Book Description :

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.

Ranked Set Sampling Techniques Useful in Environmental Monitoring

Ranked Set Sampling Techniques Useful in Environmental Monitoring Book
Author : Girja Shankar Pandey,Neeraj Tiwari
Publisher : LAP Lambert Academic Publishing
Release : 2012-07
ISBN : 9783659181528
Language : En, Es, Fr & De

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Book Description :

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.

Estimation Based on Ranked Set Samples

Estimation Based on Ranked Set Samples Book
Author : Paul Haakon Kvam
Publisher : Unknown
Release : 1990
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Estimation Based on Ranked Set Samples book written by Paul Haakon Kvam, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Advances in Sampling Theory Ratio Method of Estimation

Advances in Sampling Theory Ratio Method of Estimation Book
Author : Hulya Cingi,Cem Kadilar
Publisher : Bentham Science Publishers
Release : 2009-08-11
ISBN : 1608050122
Language : En, Es, Fr & De

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Book Description :

"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"

Predictive Analytics Using Statistics and Big Data Concepts and Modeling

Predictive Analytics Using Statistics and Big Data  Concepts and Modeling Book
Author : Krishna Kumar Mohbey,Arvind Pandey,Dharmendra Singh Rajput
Publisher : Bentham Science Publishers
Release : 2020-12-09
ISBN : 9811490511
Language : En, Es, Fr & De

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Book Description :

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.

Statistical Quality Technologies

Statistical Quality Technologies Book
Author : Yuhlong Lio,Hon Keung Tony Ng,Tzong-Ru Tsai,Ding-Geng Chen
Publisher : Springer
Release : 2019-08-09
ISBN : 3030207099
Language : En, Es, Fr & De

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Book Description :

This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.

Statistical Methods and Applications in Forestry and Environmental Sciences

Statistical Methods and Applications in Forestry and Environmental Sciences Book
Author : Girish Chandra,Raman Nautiyal,Hukum Chandra
Publisher : Springer Nature
Release : 2020-01-04
ISBN : 9811514763
Language : En, Es, Fr & De

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Book Description :

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.

Applied Statistical Methods

Applied Statistical Methods Book
Author : David D. Hanagal
Publisher : Springer Nature
Release : 2022-05-27
ISBN : 9811679320
Language : En, Es, Fr & De

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Book Description :

Download Applied Statistical Methods book written by David D. Hanagal, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.