Автор: Michael K?hl; Steen S. Magnussen; Marco Marchetti Название: Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory ISBN: 3642068987 ISBN-13(EAN): 9783642068980 Издательство: Springer Цена: 174130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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: 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: R. Singh; Naurang Singh Mangat Название: Elements of Survey Sampling ISBN: 0792340450 ISBN-13(EAN): 9780792340454 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is because in social sciences the factors that cause variation in the measurements on the study variable for the population units can not be controlled, whereas in physical sciences these factors can be controlled, at least to some extent, through proper experimental design.
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: 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.
Автор: R. Singh; Naurang Singh Mangat Название: Elements of Survey Sampling ISBN: 9048147034 ISBN-13(EAN): 9789048147038 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is because in social sciences the factors that cause variation in the measurements on the study variable for the population units can not be controlled, whereas in physical sciences these factors can be controlled, at least to some extent, through proper experimental design.
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.
Автор: Sarjinder Singh Название: A New Concept for Tuning Design Weights in Survey Sampling ISBN: 0081005946 ISBN-13(EAN): 9780081005941 Издательство: Elsevier Science Рейтинг: Цена: 116780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning design weights in survey sampling by presenting three concepts: calibration, jackknifing, and imputing where needed. This new methodology allows survey statisticians to develop statistical software for analyzing data in a more precisely and friendly way than with existing techniques.
Автор: Parimal Mukhopadhyay Название: Topics in Survey Sampling ISBN: 0387951083 ISBN-13(EAN): 9780387951089 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: He also served as a faculty member in the University of Ife, Nigeria, Moi University, Kenya, University of South Pacific, Fiji Islands and held visiting positions at University of Montreal, University of Windsor, Stockholm University, University of Western Australia, etc.
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