1 291 kr
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"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates, non-probability surveys, and internet as a data collection mode hold particular value, as these statistical issues have become increasingly important in survey practice in recent years… I would eagerly adopt the new edition of SDA as the required textbook." (Emily Berg, Iowa State University)
What is the unemployment rate? What is the total area of land planted with soybeans? How many persons have antibodies to the virus causing COVID-19? Sampling: Design and Analysis, Third Edition shows 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 the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics.
Key Features:
SDA’s companion website contains data sets, computer code, and links to two free downloadable supplementary books (also available in paperback) that provide step-by-step guides—with code, annotated output, and helpful tips—for working through the SDA examples. Instructors can use either R or SAS® software.
Panel on the Implications of Using Multiple Data Sources for Major Survey Programs, Committee on National Statistics, Division of Behavioral and Social Sciences and Education, and Medicine National Academies of Sciences, Engineering, Sharon L. Lohr, Daniel H. Weinberg, Krisztina Marton
486 kr
Panel on the Implications of Using Multiple Data Sources for Major Survey Programs, Committee on National Statistics, Division of Behavioral and Social Sciences and Education, and Medicine National Academies of Sciences, Engineering, Sharon L. Lohr, Daniel H. Weinberg, Krisztina Marton
486 kr
and Medicine National Academies of Sciences, Engineering, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on the Implications of Using Multiple Data Sources for Major Survey Programs, Krisztina Marton, Daniel H. Weinberg, Sharon L. Lohr
Häftad, 2023
327 kr
