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

Ranked Set Sampling Models and Methods

Ranked Set Sampling Models and Methods
Author: Bouza-Herrera, Carlos N.
Publsiher: IGI Global
Total Pages: 276
Release: 2021-08-06
ISBN 10: 179987558X
ISBN 13: 9781799875581
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.

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.

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.

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

Viruses and Viral Infections in Developing Countries

Viruses and Viral Infections in Developing Countries
Author: Snežana Jovanović-Ćupić,Muhammad Abubakar,Ayse Emel Onal,Muhammad Kashif Saleemi,Ana Božović,Milena Krajnovic
Publsiher: BoD – Books on Demand
Total Pages: 170
Release: 2020-06-17
ISBN 10: 1789856337
ISBN 13: 9781789856330
Language: EN, FR, DE, ES & NL

Viruses and Viral Infections in Developing Countries Book Review:

This book contains information on various virus families, with the focus on viruses causing prevalent infections in parts of developing countries in Africa and Asia. Viral proteins play an important role in their replication and infection potential, and are the main candidates for antiviral therapy and vaccines. While some antiviral vaccines are available for quite some time (e.g. MMR), there are regions in the world still struggling with some infections. This is especially the problem in regions where the morbidity rate from viral infections among young children is high. This situation requires urgent measures to put infections under control.

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"

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.

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.

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.

Advances on Theoretical and Methodological Aspects of Probability and Statistics

Advances on Theoretical and Methodological Aspects of Probability and Statistics
Author: N. Balakrishnan
Publsiher: CRC Press
Total Pages: 560
Release: 2003-04-24
ISBN 10: 9780203493205
ISBN 13: 0203493206
Language: EN, FR, DE, ES & NL

Advances on Theoretical and Methodological Aspects of Probability and Statistics Book Review:

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.

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.

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.

Introduction to Probability

Introduction to Probability
Author: Joseph K. Blitzstein,Jessica Hwang
Publsiher: CRC Press
Total Pages: 596
Release: 2014-07-24
ISBN 10: 1498759769
ISBN 13: 9781498759762
Language: EN, FR, DE, ES & NL

Introduction to Probability Book Review:

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional

Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation
Author: Kenneth Train
Publsiher: Cambridge University Press
Total Pages: 388
Release: 2009-07-06
ISBN 10: 0521766559
ISBN 13: 9780521766555
Language: EN, FR, DE, ES & NL

Discrete Choice Methods with Simulation Book Review:

This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Statistics in a Nutshell

Statistics in a Nutshell
Author: Sarah Boslaugh
Publsiher: "O'Reilly Media, Inc."
Total Pages: 595
Release: 2012-11-15
ISBN 10: 1449316824
ISBN 13: 9781449316822
Language: EN, FR, DE, ES & NL

Statistics in a Nutshell Book Review:

A clear and concise introduction and reference for anyone new to the subject of statistics.

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

Sampling
Author: Sharon L. Lohr
Publsiher: CRC Press
Total Pages: 613
Release: 2019-04-08
ISBN 10: 1000022544
ISBN 13: 9781000022544
Language: EN, FR, DE, ES & NL

Sampling Book Review:

This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include: More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available. An emphasis on survey design. Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis. Graphing data from surveys. Computer code using SAS® software. Online supplements containing data sets, computer programs, and additional material. Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com.

Development of Modern Statistics and Related Topics

Development of Modern Statistics and Related Topics
Author: Yaoting Zhang
Publsiher: World Scientific
Total Pages: 301
Release: 2003
ISBN 10: 9789812796707
ISBN 13: 9812796703
Language: EN, FR, DE, ES & NL

Development of Modern Statistics and Related Topics Book Review:

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