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R Companion for Sampling: Design and Analysis, Third Edition

Autor Yan Lu, Sharon L. Lohr
en Limba Engleză Hardback – 25 noi 2021
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.
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Specificații

ISBN-13: 9781032132150
ISBN-10: 1032132159
Pagini: 222
Ilustrații: 24 Line drawings, black and white; 24 Illustrations, black and white
Dimensiuni: 178 x 254 x 18 mm
Greutate: 0.56 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Postgraduate, Professional, and Undergraduate Advanced

Cuprins

  1. Getting Started. 2. Simple Probability Samples. 3. Stratified Sampling. 4. Ratio and Regression Estimation. 5. Ratio and Regression Estimation. 6. Sampling with Unequal Probabilities. 7. Complex Surveys. 8. Nonresponse. 9. Variance Estimation in Complex Surveys. 10. Categorical Data Analysis in Complex Surveys. 11. Regression with Complex Survey Data. 12. Additional Topics for Survey Data Analysis.

Notă biografică

Yan Lu received the BEng and MSc degrees in Microelectronics from South China University of Technology, Guangzhou, China, in 2006 and 2009, respectively; and the PhD degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2013. In 2014, he joined the State Key Laboratory of Analog and Mixed-Signal VLSI of University of Macau as an Assistant Professor. His current research interests include, wireless power transfer circuits and systems, RF energy harvesting, highly-integrated power management solutions. From 2013 to 2018, Yan has contributed 9 ISSCC papers which are distributed in three sub-areas of power management IC: wireless power transfer (3), low-dropout regulators (3), and switched-capacitor DC-DC converters (3). In addition, Yan has co-authored 40+ journal/conference papers, three book chapters, and one book entitled "CMOS Integrated Circuit Design for Wireless Power Transfer" published by Springer. Dr. Lu served as a member of Technical Program Committee of several IEEE conferences, including ISCAS, VLSI-DAT, APCCAS, etc. He also serves as a reviewer of many journals/conferences including IEEE JSSC, TCAS-I, TPEL, etc. Yan was a recipient of the Outstanding Postgraduate Student Award of Guangdong (Canton) Province 2008, the IEEE Solid-State Circuits Society Pre-Doctoral Achievement Award 2013-2014, and the IEEE CAS Society Outstanding Young Author Award 2017. He is a senior member of IEEE.

Descriere

This manual contains information for using R software with the examples in the textbook Sampling: Design and Analysis, 3rd edition by Sharon L. Lohr.