Applied Sampling
Author | : Seymour Sudman |
Publisher | : |
Total Pages | : 262 |
Release | : 1976 |
Genre | : Mathematics |
ISBN | : |
Discusses numerous sampling methods with emphasis on the less expensive techniques.
Download Applied Sampling full books in PDF, epub, and Kindle. Read online free Applied Sampling ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Seymour Sudman |
Publisher | : |
Total Pages | : 262 |
Release | : 1976 |
Genre | : Mathematics |
ISBN | : |
Discusses numerous sampling methods with emphasis on the less expensive techniques.
Author | : Edward Blair |
Publisher | : SAGE Publications |
Total Pages | : 191 |
Release | : 2014-12-02 |
Genre | : Social Science |
ISBN | : 1483346919 |
Written for students and researchers who wish to understand the conceptual and practical aspects of sampling, this book is designed to be accessible without requiring advanced statistical training. It covers a wide range of topics, from the basics of sampling to special topics such as sampling rare populations, sampling organizational populations, and sampling visitors to a place. Using cases and examples to illustrate sampling principles and procedures, the book thoroughly covers the fundamentals of modern survey sampling, and addresses recent changes in the survey environment such as declining response rates, the rise of Internet surveys, the need to accommodate cell phones in telephone surveys, and emerging uses of social media and big data.
Author | : Gary T. Henry |
Publisher | : SAGE Publications |
Total Pages | : 150 |
Release | : 1990-08-01 |
Genre | : Social Science |
ISBN | : 1506320341 |
Sampling is fundamental to nearly every study in the social and policy sciences, yet clear, concise guidance for practitioners and graduate students has been difficult to find. Practical Sampling provides guidance for researchers dealing with the everyday problems of sampling. Using the practical design approach Henry integrates sampling into the overall research design and explains the interrelationships between research design and sampling choices. He lays out alternatives and implications of the choices using four detailed examples to illustrate the alternatives selected and the trade-offs made by applied researchers. The author uses a narrative, conceptual approach throughout the book; mathematical presentations are limited to necessary formulas; and calculations are kept to the absolute minimum, making it an easily approachable book for any researcher, student or professional across the social sciences.
Author | : John J. Benedetto |
Publisher | : Springer Science & Business Media |
Total Pages | : 423 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461201438 |
A state-of-the-art edited survey covering all aspects of sampling theory. Theory, methods and applications are discussed in authoritative expositions ranging from multi-dimensional signal analysis to wavelet transforms. The book is an essential up-to-date resource.
Author | : Rens van de Schoot |
Publisher | : Routledge |
Total Pages | : 270 |
Release | : 2020-02-13 |
Genre | : Psychology |
ISBN | : 1000760944 |
Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics.
Author | : Peter Tryfos |
Publisher | : Wiley |
Total Pages | : 456 |
Release | : 1996-02-16 |
Genre | : Science |
ISBN | : 9780471047278 |
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. The accompanying disk contains data files for cases and two computer programs--one of which is an interactive DOS program designed to serve as a tutorial by assisting the implementation of complicated sampling formulas.
Author | : Johnnie Daniel |
Publisher | : SAGE Publications |
Total Pages | : 321 |
Release | : 2011-04-25 |
Genre | : Social Science |
ISBN | : 145222305X |
Written for students taking research methods courses, this text provides a thorough overview of sampling principles. The author gives detailed, nontechnical descriptions and guidelines with limited presentation of formulas to help students reach basic research decisions, such as whether to choose a census or a sample, as well as how to select sample size and sample type. Intended for students and researchers in the social and behavioral sciences, public health research, marketing research, and related areas, the text provides nonstatisticians with the concepts and techniques they need to do quality work and make good sampling choices.
Author | : S. T. Buckland |
Publisher | : Springer |
Total Pages | : 285 |
Release | : 2015-08-08 |
Genre | : Medical |
ISBN | : 3319192191 |
In this book, the authors cover the basic methods and advances within distance sampling that are most valuable to practitioners and in ecology more broadly. This is the fourth book dedicated to distance sampling. In the decade since the last book published, there have been a number of new developments. The intervening years have also shown which advances are of most use. This self-contained book covers topics from the previous publications, while also including recent developments in method, software and application. Distance sampling refers to a suite of methods, including line and point transect sampling, in which animal density or abundance is estimated from a sample of distances to detected individuals. The book illustrates these methods through case studies; data sets and computer code are supplied to readers through the book’s accompanying website. Some of the case studies use the software Distance, while others use R code. The book is in three parts. The first part addresses basic methods, the design of surveys, distance sampling experiments, field methods and data issues. The second part develops a range of modelling approaches for distance sampling data. The third part describes variations in the basic method; discusses special issues that arise when sampling different taxa (songbirds, seabirds, cetaceans, primates, ungulates, butterflies, and plants); considers advances to deal with failures of the key assumptions; and provides a check-list for those conducting surveys.
Author | : Patricia L. Smith |
Publisher | : SIAM |
Total Pages | : 115 |
Release | : 2000-01-01 |
Genre | : Mathematics |
ISBN | : 9780898718478 |
How does a marble manufacturer know that the color will be consistent throughout the products being made? How can you tell if liquid at the bottom of a container is the same consistency as at the top? How does a pellet manufacturer know if the pellets are consistently the same size? How does a chemical manufacturer know if the percent purity in a sample is representative of the whole batch? These and similar questions are answered in A Primer for Sampling Solids, Liquids, and Gases: Based on the Seven Sampling Errors of Pierre Gy. Statisticians are well trained in sampling techniques if the sample is well defined. Examples of such samples include industrial parts in manufacturing, invoices in business processes, and people in surveys. However, what if the sampling unit isn't well defined? What if you are sampling bulk material such as a pile of coal? Author Patricia L. Smith illustrates what to look for in sampling devices and procedures to obtain correct samples from bulk materials. She gives sampling guidelines that can be applied immediately and shows how to analyze protocols to uncover sampling problems. Smith presents the ideas of Pierre Gy in lay terms so that his concepts and principles can be easily grasped and applied. She conveys Gy's intuitive meaning while preserving his original ideas. Synonyms have been used for some technical terms to avoid confusion.