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Probability Designs
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Book Synopsis Probability Designs by : Karin Kukkonen
Download or read book Probability Designs written by Karin Kukkonen and published by Oxford University Press, USA. This book was released on 2020-01-16 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Probability Designs develops a comprehensive account of the predictions and probabilities at play in literature, in particular novels. Novels, it is argued, provide readers with a designed sensory flow in their plots, style, and relation to other texts. The model traces, based on research in predictive processing, how this designed sensory flow revises readers' expectations and leads them to engage in exploratory thinking. The model is then embedded in a co-evolutionary account of how language, writing, and fictionality enable literary designer environments in which thought can be extended beyond the everyday. Literary form, as traced in probability designs, performs particular cognitive work in these designer environments"--
Book Synopsis Probability Proportional to Prediction Sampling by : United States. Forest Service
Download or read book Probability Proportional to Prediction Sampling written by United States. Forest Service and published by . This book was released on 1975 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probability, Reliability, and Statistical Methods in Engineering Design by : Achintya Haldar
Download or read book Probability, Reliability, and Statistical Methods in Engineering Design written by Achintya Haldar and published by . This book was released on 2000 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text for a one-term course on Probability and Statistics intended primarily for civil engineering majors. Most often taught out of the Civil Engineering Department. Covers the key concepts and statistical techniques for assessing the reliability of structures and the risk factors in their design.
Download or read book Sampling written by Steven K. Thompson and published by John Wiley & Sons. This book was released on 2012-03-13 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition "This book has never had a competitor. It is the only book that takes a broad approach to sampling . . . any good personal statistics library should include a copy of this book." —Technometrics "Well-written . . . an excellent book on an important subject. Highly recommended." —Choice "An ideal reference for scientific researchers and other professionals who use sampling." —Zentralblatt Math Features new developments in the field combined with all aspects of obtaining, interpreting, and using sample data Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive new material—sections, exercises, and examples—throughout. Inside, readers will find all-new approaches to explain the various techniques in the book; new figures to assist in better visualizing and comprehending underlying concepts such as the different sampling strategies; computing notes for sample selection, calculation of estimates, and simulations; and more. Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling; detectability methods for elusive populations; spatial sampling; and adaptive sampling designs. Featuring a broad range of topics, Sampling, Third Edition serves as a valuable reference on useful sampling and estimation methods for researchers in various fields of study, including biostatistics, ecology, and the health sciences. The book is also ideal for courses on statistical sampling at the upper-undergraduate and graduate levels.
Book Synopsis Experimental Methods in Survey Research by : Paul J. Lavrakas
Download or read book Experimental Methods in Survey Research written by Paul J. Lavrakas and published by John Wiley & Sons. This book was released on 2019-10-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Probability Sampling to Measure Pollution from Rural Land Runoff by : F. J. Humenik
Download or read book Probability Sampling to Measure Pollution from Rural Land Runoff written by F. J. Humenik and published by . This book was released on 1980 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309476127 Total Pages :151 pages Book Rating :4.3/5 (94 download)
Book Synopsis Improving Health Research on Small Populations by : National Academies of Sciences, Engineering, and Medicine
Download or read book Improving Health Research on Small Populations written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-07-02 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing diversity of population of the United States presents many challenges to conducting health research that is representative and informative. Dispersion and accessibility issues can increase logistical costs; populations for which it is difficult to obtain adequate sample size are also likely to be expensive to study. Hence, even if it is technically feasible to study a small population, it may not be easy to obtain the funding to do so. In order to address the issues associated with improving health research of small populations, the National Academies of Sciences, Engineering, and Medicine convened a workshop in January 2018. Participants considered ways of addressing the challenges of conducting epidemiological studies or intervention research with small population groups, including alternative study designs, innovative methodologies for data collection, and innovative statistical techniques for analysis.
Book Synopsis Handbook of Environmental and Ecological Statistics by : Alan E. Gelfand
Download or read book Handbook of Environmental and Ecological Statistics written by Alan E. Gelfand and published by CRC Press. This book was released on 2019-01-15 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Book Synopsis Experimental Designs by : Barak Ariel
Download or read book Experimental Designs written by Barak Ariel and published by SAGE. This book was released on 2022-03-01 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth book in The SAGE Quantitative Research Kit, this resource covers the basics of designing and conducting basic experiments, outlining the various types of experimental designs available to researchers, while providing step-by-step guidance on how to conduct your own experiment. As well as an in-depth discussion of Random Controlled Trials (RCTs), this text highlights effective alternatives to this method and includes practical steps on how to successfully adopt them. Topics include: · The advantages of randomisation · How to avoid common design pitfalls that reduce the validity of experiments · How to maintain controlled settings and pilot tests · How to conduct quasi-experiments when RCTs are not an option Practical and succintly written, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Book Synopsis Probability and Bayesian Modeling by : Jim Albert
Download or read book Probability and Bayesian Modeling written by Jim Albert and published by CRC Press. This book was released on 2019-12-06 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
Book Synopsis The Design Inference by : William A. Dembski
Download or read book The Design Inference written by William A. Dembski and published by Cambridge University Press. This book was released on 1998-09-13 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a reliable method for detecting intelligent causes: the design inference.The design inference uncovers intelligent causes by isolating the key trademark of intelligent causes: specified events of small probability. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative book shows how incomplete undirected causes are for science and breathes new life into classical design arguments. It will be read with particular interest by philosophers of science and religion, other philosophers concerned with epistemology and logic, probability and complexity theorists, and statisticians.
Book Synopsis Design and Inference in Finite Population Sampling by : A. S. Hedayat
Download or read book Design and Inference in Finite Population Sampling written by A. S. Hedayat and published by Wiley-Interscience. This book was released on 1991-09-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers a new but essential development in the field of population sampling, namely inference in finite sampling. Offers some important topics not found in other texts on sampling such as the superpopulation approach and randomized response, nonresponse and resampling techniques.
Book Synopsis Essentials of Business Research Methods by : Joe F. Hair Jr.
Download or read book Essentials of Business Research Methods written by Joe F. Hair Jr. and published by Routledge. This book was released on 2019-11-05 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era of big data and data analytics, how can managers make decisions based on almost unlimited information, not to mention hiring and retaining individuals with the required data analytics skills? The new fourth edition of Essentials of Business Research Methods explains research methods and analytical techniques for individuals who aren't data scientists. The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make relevant and timely business decisions. They include critical topics, such as the increasing role of online research, ethical issues, privacy matters, data analytics, customer relationship management, how to conduct information-gathering activities more effectively in a rapidly changing business environment, and more. This is also the only text that includes a chapter on qualitative data analysis, and the coverage of quantitative data analysis is more extensive as well as much easier to understand than in other texts. A realistic continuing case used throughout the book, applied research examples, and ethical dilemma mini cases enable upper-level undergraduate and postgraduate students to see how business research information is used in the real world. This comprehensive textbook is supported by a range of online resources, including instructors’ manuals, PowerPoint slides, and test banks.
Book Synopsis The Handbook of Social Work Research Methods by : Bruce Thyer
Download or read book The Handbook of Social Work Research Methods written by Bruce Thyer and published by SAGE Publications. This book was released on 2009-10-15 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Click on the Supplements tab above for further details on the different versions of SPSS programs. The canonical Handbook is completely updated with more student-friendly features The Handbook of Social Work Research Methods is a cutting-edge volume that covers all the major topics that are relevant for Social Work Research methods. Edited by Bruce Thyer and containing contributions by leading authorities, this Handbook covers both qualitative and quantitative approaches as well as a section that delves into more general issues such as evidence based practice, ethics, gender, ethnicity, International Issues, integrating both approaches, and applying for grants. New to this Edition More content on qualitative methods and mixed methods More coverage of evidence-based practice More support to help students effectively use the Internet A companion Web site at www.sagepub.com/thyerhdbk2e containing a test bank and PowerPoint slides for instructors and relevant SAGE journal articles for students. This Handbook serves as a primary text in the methods courses in MSW programs and doctoral level programs. It can also be used as a reference and research design tool for anyone doing scholarly research in social work or human services.
Book Synopsis Introduction to Research - E-Book by : Elizabeth DePoy
Download or read book Introduction to Research - E-Book written by Elizabeth DePoy and published by Elsevier Health Sciences. This book was released on 2015-03-06 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridge the gap between research and practice with Introduction to Research: Understanding and Applying Multiple Strategies, 5th Edition. This easy-to-read edition covers all the major research design strategies: qualitative, quantitative, naturalistic, experimental-type, and mixed method. And with the text’s up-to-date research information and references, you will have a solid foundation from which to critique and understand research designs and their applications to healthcare and human service settings. Case examples provide real-life snapshots of what it is like to participate in different types of research processes, identify research dilemmas relevant to chapter subjects, and alert you to problems you might encounter. Authors make the topics more accessible, so research becomes more relevant - and topics come to life. Covers experimental-type, naturalistic, and mixed method design strategies to improve your ability to compare, contrast, and integrate different methods. Presents complex information clearly in a highly readable, and easy-to-understand, manner. Includes detailed discussions of qualitative and quantitative methodologies, a unique and balanced focus that makes this text more comprehensive than others in its field. NEW! Up-to-date research methods, strategies, and references, like digital sources, visual methods, and geographical analysis, give you the latest information on research in diverse areas of health and human services.
Book Synopsis Adaptive Sampling Designs by : George A.F. Seber
Download or read book Adaptive Sampling Designs written by George A.F. Seber and published by Springer Science & Business Media. This book was released on 2012-10-23 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations. Written by two acknowledged experts in the field of adaptive sampling.
Book Synopsis The degrees of freedom of a variance estimator in a probability sample by : Phillip S. Kott
Download or read book The degrees of freedom of a variance estimator in a probability sample written by Phillip S. Kott and published by RTI Press. This book was released on 2020-08-17 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inferences from probability-sampling theory (more commonly called “design-based sampling theory”) often rely on the asymptotic normality of nearly unbiased estimators. When constructing a two-sided confidence interval for a mean, the ad hoc practice of determining the degrees of freedom of a probability-sampling variance estimator by subtracting the number of its variance strata from the number of variance primary sampling units (PSUs) can be justified by making usually untenable assumptions about the PSUs. We will investigate the effectiveness of this conventional and an alternative method for determining the effective degrees of freedom of a probability-sampling variance estimator under a stratified cluster sample.
