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Author: Changbao Wu Publisher: Springer Nature ISBN: 3030442462 Category : Social Science Languages : en Pages : 371
Book Description
The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.
Author: Changbao Wu Publisher: Springer Nature ISBN: 3030442462 Category : Social Science Languages : en Pages : 371
Book Description
The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.
Author: Nate Patrin Publisher: U of Minnesota Press ISBN: 1452963800 Category : Music Languages : en Pages : 336
Book Description
How sampling remade hip-hop over forty years, from pioneering superstar Grandmaster Flash through crate-digging preservationist and innovator Madlib Sampling—incorporating found sound and manipulating it into another form entirely—has done more than any musical movement in the twentieth century to maintain a continuum of popular music as a living document and, in the process, has become one of the most successful (and commercial) strains of postmodern art. Bring That Beat Back traces the development of this transformative pop-cultural practice from its origins in the turntable-manning, record-spinning hip-hop DJs of 1970s New York through forty years of musical innovation and reinvention. Nate Patrin tells the story of how sampling built hip-hop through the lens of four pivotal artists: Grandmaster Flash as the popular face of the music’s DJ-born beginnings; Prince Paul as an early champion of sampling’s potential to elaborate on and rewrite music history; Dr. Dre as the superstar who personified the rise of a stylistically distinct regional sound while blurring the lines between sampling and composition; and Madlib as the underground experimentalist and record-collector antiquarian who constantly broke the rules of what the mainstream expected from hip-hop. From these four artists’ histories, and the stories of the people who collaborated, competed, and evolved with them, Patrin crafts a deeply informed, eminently readable account of a facet of pop music as complex as it is commonly underestimated: the aesthetic and reconstructive power of one of the most revelatory forms of popular culture to emerge from postwar twentieth-century America. And you can nod your head to it.
Author: Kembrew McLeod Publisher: Duke University Press ISBN: 0822348756 Category : Crafts & Hobbies Languages : en Pages : 337
Book Description
Draws on interviews with more than 100 musicians, managers, lawyers, journalists, and scholars to critique the music industrys approach to digital sampling.
Author: Teresa Bondora Publisher: Gregory M. Friedlander & Associaets, P.C. ISBN: 9780977920990 Category : Languages : en Pages : 153
Book Description
A coloring book to familiarize the user with the Primary elements in the Periodic Table. The Periodic Table Coloring Book (PTCB) was received worldwide with acclaim. It is based on solid, proven concepts. By creating a foundation that is applicable to all science ("Oh yes, Hydrogen, I remember coloring it, part of water, it is also used as a fuel; I wonder how I could apply this to the vehicle engine I am studying...") and creating enjoyable memories associated with the elements science becomes accepted. These students will be interested in chemistry, engineering and other technical areas and will understand why those are important because they have colored those elements and what those elements do in a non-threatening environment earlier in life.
Author: Sharon L. Lohr Publisher: CRC Press ISBN: 1000022544 Category : Mathematics Languages : en Pages : 923
Book Description
This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include: More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available. An emphasis on survey design. Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis. Graphing data from surveys. Computer code using SAS® software. Online supplements containing data sets, computer programs, and additional material. Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com.
Author: Ranjan K. Som Publisher: CRC Press ISBN: 9780824796761 Category : Mathematics Languages : en Pages : 676
Book Description
Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.
Author: Yan Lu Publisher: CRC Press ISBN: 1000482057 Category : Mathematics Languages : en Pages : 222
Book Description
The R Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (SDA; 2022, CRC Press), shows how to use functions in base R and contributed packages to perform calculations for the examples in SDA. No prior experience with R is needed. Chapter 1 tells you how to obtain R and RStudio, introduces basic features of the R statistical software environment, and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA, with code, output, and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. R features and functions are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book, you will know how to use R to select and analyze almost any type of probability sample. All R code and data sets used in this book are available online to help you develop your skills analyzing survey data from social and public opinion research, public health, crime, education, business, agriculture, and ecology.
Author: Johnnie Daniel Publisher: SAGE Publications ISBN: 145222305X Category : Social Science Languages : en Pages : 321
Book Description
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: Lawrence H. Keith Publisher: ISBN: Category : Science Languages : en Pages : 892
Book Description
Planning and sample design. Quality assurance and quality control. Sampling waters. Sampling biota. Sampling solids and hazardous wastes.
Author: Changbao Wu
Author: Changbao Wu
Author: Nate Patrin
Author: Kembrew McLeod
Author: Teresa Bondora
Author: Sharon L. Lohr
Author: Ranjan K. Som
Author: Yan Lu
Author: Johnnie Daniel
Author: Tony Waters
Author: Lawrence H. Keith