Ranked Set Sampling Models and Methods, Bouza-Herrera Carlos N.
Автор: Linton Oliver Название: Financial Econometrics: Models and Methods ISBN: 1316630331 ISBN-13(EAN): 9781316630334 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thorough exploration of the models and methods of financial econometrics is written by one of the world`s leading financial econometricians. The up-to-date content covers developments in econometrics and finance over the last twenty years while ensuring a solid grounding in the fundamental principles of the subject.
Автор: Bouza-Herrera Carlos N. Название: Ranked Set Sampling Models and Methods ISBN: 1799875571 ISBN-13(EAN): 9781799875574 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 23978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Carlos N. Bouza-Herrera Название: Handling Missing Data in Ranked Set Sampling ISBN: 3642398987 ISBN-13(EAN): 9783642398988 Издательство: Springer Рейтинг: Цена: 6986.00 р. 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: 26107.00 р. 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: 19564.00 р. 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.
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.
Описание: Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.
Автор: Luca Martino; David Luengo; Joaqu?n M?guez Название: Independent Random Sampling Methods ISBN: 3030102416 ISBN-13(EAN): 9783030102418 Издательство: Springer Рейтинг: Цена: 15372.00 р. 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: Latpate Raosaheb, Kshirsagar Jayant, Kumar Gupta Vinod Название: Advanced Sampling Methods ISBN: 9811606218 ISBN-13(EAN): 9789811606212 Издательство: Springer Цена: 7965.00 р. 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: Martino Название: Independent Random Sampling Methods ISBN: 3319726331 ISBN-13(EAN): 9783319726335 Издательство: Springer Рейтинг: Цена: 19564.00 р. 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.
Описание: When we talk about forests, we talk about 30% of our planet's land surface 6 area. In 2000 there was an estimated 3 87010 ha of forest worldwide, of which 1 5% is in forest plantations and 95% in natural forests (FAO 2003). Forests are not only a source for timber; they also generate significant nonwood goods and services, mitigate climate change, conserve biological diversity, provide prot- tion from natural hazards, and not least: provide recreational areas for an increasingly urbanized world population. The availability of timber and n- wood goods and services is waning as deforestation and degradation of tro- cal forests continue. While forest area has stabilized or is slightly increasing in the boreal and temperate regions, the annual loss of forest area in the tropics and subtropics is decreasing. Between 1990 and 2000 the annual rate of defor- 6 estation was estimated to be 14. 610 ha (approximately 0. 38%) and took place mainly in tropical and subtropical forests (FAO 2003). The net annual rate of 6 change is about 9. 410 ha (0. 2%). Maintaining and enhancing forest areas and the vitality of forest ecosystems is a widely accepted political goal, which is often opposed by conflicting demands of various stakeholders.
A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing
This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used.
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains.
Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method's deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:
Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity
Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications
Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation --featuring contributions from across a variety of disciplines in the social and behavioral sciences
Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study
Includes more than 20 types of original experiments carried out within probability sample surveys
Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.
Paul J. Lavrakas, PhD, is Senior Fellow at the NORC at the University of Chicago, Adjunct Professor at University of Illinois-Chicago, Senior Methodologist at the Social Research Centre of Australian National University and at the Office for Survey Research at Michigan State University.
Michael W. Traugott, PhD, is Research Professor in the Institute for Social Research at the University of Michigan.
Courtney Kennedy, PhD, is Director of Survey Research at Pew Research Center in Washington, DC.
Allyson L. Holbrook, PhD, is Professor of Public Administration and Psychology at the University of Illinois-Chicago.
Edith D. de Leeuw, PhD, is Professor of Survey Methodology in the Department of Methodology and Statistics at Utrecht University.
Brady T. West, PhD, is Research Associate Professor in the Survey Research Center at the University of Michigan-Ann Arbor.
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