Ranked Set Sampling Models and Methods, Bouza-Herrera Carlos N.
Автор: Luca Martino; David Luengo; Joaqu?n M?guez Название: Independent Random Sampling Methods ISBN: 3030102416 ISBN-13(EAN): 9783030102418 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Martino Название: Independent Random Sampling Methods ISBN: 3319726331 ISBN-13(EAN): 9783319726335 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book systematically addresses the design and analysis of efficient techniques for independent random sampling.
Автор: Tryfos Название: Sampling Methods for Allied Research - Text and Cases +D3 ISBN: 0471047279 ISBN-13(EAN): 9780471047278 Издательство: Wiley Рейтинг: Цена: 230150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Bouza-Herrera Carlos N. Название: Ranked Set Sampling Models and Methods ISBN: 1799875563 ISBN-13(EAN): 9781799875567 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 206970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Carlos N. Bouza-Herrera Название: Handling Missing Data in Ranked Set Sampling ISBN: 3642398987 ISBN-13(EAN): 9783642398988 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Bouza-Herrera, Carlos Название: Ranked Set Sampling ISBN: 0128150440 ISBN-13(EAN): 9780128150443 Издательство: Elsevier Science Рейтинг: Цена: 174050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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
Автор: Douglas E. Critchlow Название: Metric Methods for Analyzing Partially Ranked Data ISBN: 0387962883 ISBN-13(EAN): 9780387962887 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Marvin Rausand Название: System Reliability Theory: Models, Statistical Methods, and Applications, 2nd Edition ISBN: 047147133X ISBN-13(EAN): 9780471471332 Издательство: Wiley Рейтинг: Цена: 162630.00 T Наличие на складе: Поставка под заказ. 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.
Автор: Latpate Raosaheb, Kshirsagar Jayant, Kumar Gupta Vinod Название: Advanced Sampling Methods ISBN: 9811606218 ISBN-13(EAN): 9789811606212 Издательство: Springer Цена: 53100.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Levy Название: Solutions Manual to Accompany Sampling of Populations - Methods and Applications 4e ISBN: 047040101X ISBN-13(EAN): 9780470401019 Издательство: Wiley Рейтинг: Цена: 41130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Laishram Ladusingh Название: Survey Sampling Methods ISBN: 9387472418 ISBN-13(EAN): 9789387472419 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14790.00 T Наличие на складе: Невозможна поставка. 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.
Автор: Muhammad Hanif, Muhammad Qaiser Shahbaz, Munir Ahmad Название: Sampling Techniques: Methods and Applications ISBN: 1536123641 ISBN-13(EAN): 9781536123647 Издательство: Nova Science Рейтинг: 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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