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Ranked Set Sampling Models and Methods, Bouza-Herrera Carlos N.


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Автор: Bouza-Herrera Carlos N.
Название:  Ranked Set Sampling Models and Methods
ISBN: 9781799875574
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1799875571
Обложка/Формат: Paperback
Вес: 0.53 кг.
Дата издания: 30.08.2021
Серия: Computing & IT
Язык: English
Размер: 27.94 x 21.59 x 2.87 cm
Читательская аудитория: Professional and scholarly
Ключевые слова: Data capture & analysis,Databases,Information technology: general issues, COMPUTERS / Data Processing,COMPUTERS / Databases / General,COMPUTERS / General
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Поставляется из: Англии
Описание: Presents an innovative look at modelling survey sampling research and new models of RSS, along with its future potential. The book provides a panoramic view of the state of the art of RSS by presenting some previously known and new models.

Independent Random Sampling Methods

Автор: Luca Martino; David Luengo; Joaqu?n M?guez
Название: Independent Random Sampling Methods
ISBN: 3030102416 ISBN-13(EAN): 9783030102418
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniques, designed to efficiently address common real-world practical problems, are introduced and discussed in detail. In turn, the monograph presents fundamental results and methodologies in the field, elaborating and developing them into the latest techniques. The theory and methods are illustrated with a varied collection of examples, which are discussed in detail in the text and supplemented with ready-to-run computer code.The main problem addressed in the book is how to generate independent random samples from an arbitrary probability distribution with the weakest possible constraints or assumptions in a form suitable for practical implementation. The authors review the fundamental results and methods in the field, address the latest methods, and emphasize the links and interplay between ostensibly diverse techniques.


Independent Random Sampling Methods

Автор: Martino
Название: Independent Random Sampling Methods
ISBN: 3319726331 ISBN-13(EAN): 9783319726335
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book systematically addresses the design and analysis of efficient techniques for independent random sampling.

Sampling Methods for Allied Research - Text and Cases +D3

Автор: Tryfos
Название: Sampling Methods for Allied Research - Text and Cases +D3
ISBN: 0471047279 ISBN-13(EAN): 9780471047278
Издательство: Wiley
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Цена: 230150.00 T
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Описание: An excellent introductory that uses simple numerical illustrations to provide an intuitive understanding of concepts and confirm major results. Describes various methods for sample selection and estimation including unequal probability sampling and the prediction approach.

Ranked Set Sampling Models and Methods

Автор: Bouza-Herrera Carlos N.
Название: Ranked Set Sampling Models and Methods
ISBN: 1799875563 ISBN-13(EAN): 9781799875567
Издательство: Mare Nostrum (Eurospan)
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Цена: 206970.00 T
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Описание: 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.

Handling Missing Data in Ranked Set Sampling

Автор: Carlos N. Bouza-Herrera
Название: Handling Missing Data in Ranked Set Sampling
ISBN: 3642398987 ISBN-13(EAN): 9783642398988
Издательство: Springer
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Цена: 46570.00 T
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Описание: ГЇВїВЅ The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. Traditionally, simple random sampling is used to select samples. RSS models are developed as counterparts of well-known simple random sampling (SRS) models.

Ranked Set Sampling

Автор: Bouza-Herrera, Carlos
Название: Ranked Set Sampling
ISBN: 0128150440 ISBN-13(EAN): 9780128150443
Издательство: Elsevier Science
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Цена: 174050.00 T
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Описание:

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

Metric Methods for Analyzing Partially Ranked Data

Автор: Douglas E. Critchlow
Название: Metric Methods for Analyzing Partially Ranked Data
ISBN: 0387962883 ISBN-13(EAN): 9780387962887
Издательство: Springer
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Цена: 130430.00 T
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Описание: A full ranking of n items is simply an ordering of all these items, of the form: first choice, second choice, *. The problem thus becomes one of ex- tending metrics on the permutation group to metrics on a coset space of the permutation group.

System Reliability Theory: Models, Statistical Methods, and Applications, 2nd Edition

Автор: Marvin Rausand
Название: System Reliability Theory: Models, Statistical Methods, and Applications, 2nd Edition
ISBN: 047147133X ISBN-13(EAN): 9780471471332
Издательство: Wiley
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Цена: 162630.00 T
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Описание: An examination of system reliability theory, this title features in-depth discussion of dependability management and reliability centered systems as well as functional safety issues-matters critical to the IEC standards.

Advanced Sampling Methods

Автор: Latpate Raosaheb, Kshirsagar Jayant, Kumar Gupta Vinod
Название: Advanced Sampling Methods
ISBN: 9811606218 ISBN-13(EAN): 9789811606212
Издательство: Springer
Цена: 53100.00 T
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Описание: This book discusses all major topics on survey sampling and estimation. 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.

Solutions Manual to Accompany Sampling of Populations - Methods and Applications 4e

Автор: Levy
Название: Solutions Manual to Accompany Sampling of Populations - Methods and Applications 4e
ISBN: 047040101X ISBN-13(EAN): 9780470401019
Издательство: Wiley
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Цена: 41130.00 T
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Описание: Sampling of Populations: Methods and Applications, 4th Edition is an all-inclusive resource on the basic and most current practices in population sampling. Find the essential statistical methods for survey design and analysis, while also exploring techniques that have developed over the past decade.

Survey Sampling Methods

Автор: Laishram Ladusingh
Название: Survey Sampling Methods
ISBN: 9387472418 ISBN-13(EAN): 9789387472419
Издательство: Mare Nostrum (Eurospan)
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Цена: 14790.00 T
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Описание: Presents a blend of theoretical and practical aspects of sample surveys, highlighting the context and applicability of various sampling methods. This book discusses the fundamentals of sample survey, provides the basics of the unified sampling approach, inculcates equal and unequal probability sampling concepts; and introduces complex survey designs.

Sampling Techniques: Methods and Applications

Автор: Muhammad Hanif, Muhammad Qaiser Shahbaz, Munir Ahmad
Название: Sampling Techniques: Methods and Applications
ISBN: 1536123641 ISBN-13(EAN): 9781536123647
Издательство: Nova Science
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Цена: 232310.00 T
Наличие на складе: Невозможна поставка.
Описание: Sampling techniques have been widely used in almost all areas of life. The method of drawing a sample is very important for estimation of population characteristics. In this book we have made an attempt to discuss popular sampling designs and estimation methods that can be used for estimation of population characteristics. This book presents two popular sampling design categories, namely the sampling of units and the sampling of groups of units. We have discussed designs that can be used for the sampling of units (for example, simple random sampling) and designs that are used for the sampling of groups (for example, cluster and multistage sampling). The availability of supplementary information provides a basis to improve the efficiency of estimates. This book discusses estimation methods with and without the use of supplementary information. Two popular methods which use supplementary information namely, ratio and regression estimators have been discussed in detail in this book alongside their design and model based study. The probabilities of population unit selection plays an important role in estimation. In this regard, the sampling designs are classified into two broader categories, namely equal probability sampling and unequal probability sampling. This book discusses in detail both of these sampling designs. The unequal probability sampling design has been discussed in the context of the HansenHurwitz (1943) estimator, HorvitzThompson (1952) estimator and some special estimators. The model based study of various estimators provides insight about their behavior under a linear stochastic model. This book provides a detailed discussion about properties of various estimators under a linear stochastic model both in equal and unequal probability sampling. Finally, the book presents useful material on multiphase sampling. This book can be effectively used at undergraduate and graduate levels. The book is helpful for research students who want to pursue their career in sampling. The book is also helpful for practitioners to know the application of various sampling designs and estimators.


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